[HN Gopher] Exploring GPTs: ChatGPT in a trench coat?
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Exploring GPTs: ChatGPT in a trench coat?
Author : simonw
Score : 237 points
Date : 2023-11-15 15:44 UTC (7 hours ago)
(HTM) web link (simonwillison.net)
(TXT) w3m dump (simonwillison.net)
| trescenzi wrote:
| Does anyone know if there's a difference between a "GPT" and an
| Assistant created via their Assistant API[1]? There's a lot more
| fine grained control over the messages/threads in the Assistant
| API but that might be it?
|
| [1]: https://platform.openai.com/docs/assistants/overview
| minimaxir wrote:
| From my readings, Assistant is more of a raw GPT flow with a
| touch of a persistent state by keeping conversations to a
| readable thread. It does allow using the Code Interpreter or
| File Parsing tools if you need those.
|
| The GPTs are more system prompt engineering on top of the
| existing ChatGPT Plus infrastructure (with its freebies such as
| DALL-E 3 image generation).
| sebastiennight wrote:
| Function calling!
|
| I don't think GPTs allow you to do function calling? It's not
| mentioned in the launch blog post. (it would be a major privacy
| problem if these were possible in the GPTs)
|
| Using the Assistant as an intermediary between user inputs and
| a bunch of our APIs seems very promising.
| hobofan wrote:
| You can provide "actions" by exposing an API to a GPT via an
| OpenAPI spec. The interfaces are almost identical to function
| calling.
| Someone1234 wrote:
| They do allow you to do custom function calling via Configure
| -> Add Actions
| martindbp wrote:
| Doesn't seem like you can authenticate with a backend
| except for a GPT-wide api token, which makes this way less
| useful that it could be. You can basically not fetch or
| store the user's information outside ChatGPT, or am I
| missing something?
| hobofan wrote:
| I think you are missing the option for OAuth. That should
| enable what you are looking for.
|
| If you have a preexisting OAuth setup, it might be hard
| to get working though, due to the "API and Auth endpoint
| have be under the same root domain" requirement. (Source:
| wasted a few hours today trying to get OAuth working)
| simonw wrote:
| There's an OAuth option for Actions in GPTs which looks
| like it covers this case, but I haven't used it myself
| yet.
| hobofan wrote:
| If evaluated both for a client, and while they are separate
| products, they are almost identical in feature set.
|
| I wouldn't even say that you get "a lot" more control with the
| Assistant API, as in the end the flow of conversation will
| still be mainly driven by OpenAI.
|
| The main reasons why one would use the Assistant API is deeper
| integration and control about context initialization. On top of
| that, as you are responsible for rendering, you can create more
| seamless experiences and e.g. provide custom visualizations or
| utilize structured output an a programmatic way.
|
| Major downside of the assistant API is that you are also forced
| to build the UI yourself as well of the backend handling of
| driving the conversation flow forward via a polling based
| mechanism.
|
| If you want to build something quick without a lot of effort
| custom GPT + actions via an OpenAPI spec are the way to go in
| my opinion.
| fudged71 wrote:
| One interesting difference is that you can attach multiple
| assistants in the same chat "thread"
| fab1an wrote:
| GPTs are fairly limited right now, but that doesn't mean you
| can't build fun things composably on top of them...
|
| I - a non technical ignoramus who can't code - made a "universal
| retro game console" on it on a Friday night:
|
| https://twitter.com/fabianstelzer/status/1723297340306469371
|
| In order to play, you first prompt up a generative game cartridge
| on glif.app (FD: I'm a co-founder):
| https://glif.app/@fab1an/glifs/clotu9ul2002vl90fh6cmpjw0
|
| Like, "tokyo dogsitter simulator". Glif will generate the
| "cartridge" - an image - that you paste into the GPT to play:
| https://chat.openai.com/g/g-3p94K4Djb-console-gpt
|
| (you can also browse thousands of games that users have already
| made and play any of them in the GPT!)
| Dudester230602 wrote:
| Valve are truly visionary in their AI ban and charging a fee.
| Imagine the steaming brown tsunami of this sub-average
| shovelware hitting Steam?
| freedomben wrote:
| Generally speaking, Valve's vision has amazed to impress me
| time and time again. Not perfect, but super impressive
| nonetheless.
|
| Even just simple things like pricing the Steam Deck. They are
| damn good at that, where the baseline is doable and each
| incremental improvement is worth the amount of money. Before
| I realize it, I've talked myself into the top of the line
| even though I initially went there to buy the entry-level
| version :-D (and I have no regrets btw)
| siva7 wrote:
| It touches one common psychological aspect: Most people don't
| want to play or see generative content just for the sake of
| it while the same doesn't hold true for human-crafted
| art/content. They value carefully human-crafted art over ai-
| generated ones. Reading the hn comments fellow posters were
| put off by a blog article today only because it featured
| images that they perceived as likely ai generated. The images
| didn't add anything of value to the article. I don't think
| the reactions would've been that strong if those filler
| images would have been hand-crafted art. Would you really
| want to go to a concert by some musician who created his
| music ai-generatively? I wouldn't no matter how good and no
| one i know of either. It feels in some weird way disgusting.
| HKH2 wrote:
| I don't feel disgusted at all. In fact I often laugh when I
| see what stories and poems LLMs can come up with.
| Kiro wrote:
| I think you're conflating things. The point is to ban
| shovelware with low-effort AI assets, not games using AI to
| generate the game on the fly based on player input like this
| is doing. I personally think it looks pretty cool if it works
| as good as in the linked Twitter thread.
| amelius wrote:
| Just give me something that explores my harddrive and tells me
| things about my own data. And no, this means cloud solutions are
| out of the question.
| Minor49er wrote:
| What kind of interpretation are you hoping to draw from the
| contents of your hard drive?
| amelius wrote:
| Like how much technical debt is in my code. Or a summary of
| that book I'm writing so that I can use it in a presentation.
| The possibilities are endless really.
| esafak wrote:
| The same kind as you would of the contents of his data in the
| cloud; data is data.
| hfjjbf wrote:
| "Based on an exploration of your files I've determined you have
| a poor grasp of the English language, a browsing history
| indicating a profound personality disorder, and despite having
| 10 years of code you appear to be no better than a college
| freshmen. Likewise, after analyzing your photos I place you at
| the 20th percentile for attractiveness, which may explain the
| lack of a consistent partner and your pornography habits. Is
| there anything else I can help with?"
| hospitalJail wrote:
| Following. Havent gotten anything useful out of local LLMs yet,
| but it could also be due to my limited hardware.
| sudb wrote:
| The coolest thing for me here by far is the JavaScript Code
| Interpreter. I had no idea you could attach arbitrary executables
| and was trying to work out today how I might use some npm
| packages from inside a GPT - am definitely going to have a play
| to see what's possible.
| tayo42 wrote:
| That seems like a crazy over sight? Is there some legit reason
| to allow this? Id imagine they're going to lock that down? I
| guess its unlikely to be used to attack since its paid only and
| attached to a real person somehow already?
|
| Otherwise, start running commands and maybe you can get more
| clues to how theyre doing RAG like it mentions
| simonw wrote:
| I don't see any reason for them to lock this down.
|
| The code runs in a Kubernetes sandboxed container which can't
| make network calls and has an execution time limit, why
| should they care what kind of things I'm running on that CPU
| (that I'm already paying for with my subscription)?
|
| The Code Interpreter sandbox runs entirely independently of
| the RAG mechanism, so sadly you can't use Interpreter to
| figure out how their RAG system works (I wish you could, it
| would make up for the lack of documentation.)
| mmq wrote:
| > The default ChatGPT 4 UI has been updated: where previously you
| had to pick between GPT-4, Code Interpreter, Browse and DALL-E 3
| modes, it now defaults to having access to all three. ... So I
| built Just GPT-4, which simply turns all three modes off, giving
| me a way to use ChatGPT that's closer to the original experience.
|
| Isn't that what they have already built-in called "ChatGPT
| classic". The description litteraly says "The latest version of
| GPT-4 with no additional capabilities"
| simonw wrote:
| I had missed that! I wonder when they added it, has it been
| there since the launch of the new UI?
|
| (Added it to my post)
| mmq wrote:
| Yes, I had it pinned as soon as the UI changed post dev day.
| spdustin wrote:
| It's worth mentioning that it's not entirely classic. It's
| still using the 32k context turbo model.
| SushiHippie wrote:
| ChatGPT classic still exists for me, I had this new UI since a
| few days. https://chat.openai.com/g/g-YyyyMT9XH-chatgpt-classic
| vouaobrasil wrote:
| In my opinion, this proliferation of ChatGPT bots will primarily
| be used by large corporations to create a further barrier between
| the customer and the corporation.
|
| This is part of a larger trend of people becoming less reliant on
| each other and more anonymous, and it will never lead anywhere
| good. The technology is being pushed by techies who are
| fascinated with a new toy (AI) and is being funded by a separate
| group of people, the elite who want to be as independent as
| possible to accumulate the maximum amount of wealth.
|
| It's not a good idea to separate people too much. Of course, at
| first, even customers might welcome this because it will be a
| step above previous "Chat Bots" that some companies employ today,
| and it might even be a step abov certain kinds of customer
| service that we've all come to know and love...
|
| ...still, this sort of situation was already brought upon by the
| race to the bottom to get the most for the cheapest, which on a
| global scale has turned poeple from people into commodities and
| machines themselves.
|
| If you're a programmer that does this stuff, I urge you to look
| beyond the intellectual stimulation and immediate benefits of
| this type of technology, and seriously examine the greater
| possible societal consequences of such an amazing increase in
| efficiency---because, keep in mind that efficiency is only good
| UP TO A POINT, after which it becomes dehumanizing.
| bee_rider wrote:
| It does seem that "can the chatbot run interference for
| customer service" is a likely early application.
|
| Which is a shame, a company that is something like a collection
| of guilds and co-ops organized by bot C-levels would be really
| interesting.
| flextheruler wrote:
| I'm not sure I see that many industries which ChatGPT will
| actually change. Anything that requires an actual person
| ChatGPT immediately fails at and it's not even close.
| Especially anything that has human interaction and can be a
| pleasant humanizing experience.
|
| Off the top of my head for typical human business interactions
| I do as a consumer:
|
| Will ChatGPT work on my car? Will it give me a haircut? Will it
| walk my dog? Will it deliver me food? Will it be a therapist?
| Will it sell me a car? Will it sell me a house? Will it provide
| care to my children or family? Will it represent me legally?
| Will it check me out at the store?
|
| There are also examples of customer support that can't be
| replaced. At least not in the foreseeable future. No "AI" we
| have now or could have in the next decade would ever have the
| authority/capability to allow a customer to argue with it that
| he/she deserves a discounted rate on their internet bill and
| then lower said rate.
|
| Your warnings seem more fit to a world where we have developed
| actual AI as well as a physical interface for that AI to
| inhabit.
| sinuhe69 wrote:
| Does anyone know how they can run it so cheaply? Fine-tuning is
| fairly cheap for ChatGPT. But if it's truly a fine-tuned model,
| then they have to run a copy of the customer's model, isn't it?
| How can they provision it so quickly? Or did they know how to do
| sort of delta with the last layers?
| freedomben wrote:
| It's not a different model, it's just a customized system
| prompt. It costs basically nothing extra for them to run.
| Actual fine-tuning is $$$
| spdustin wrote:
| Technically, it is (it's gpt-4-gizmo). There's a chance that
| had some fine-tuning for understanding the presence of the
| just-in-time function calls for actions.
|
| (Names for Actions in Custom GPTs are tagged with "jit")
| agodfrey wrote:
| It isn't a finetuned model. Not sure what exactly it is, but it
| seems like just a bunch of prompt engineering.
| minimaxir wrote:
| There is likely zero finetuning: everything GPTs can do can
| also be done with clever system prompt engineering.
|
| GPTs likely use extra prompt engineering to align everything.
| siva7 wrote:
| It has nothing to do with fine-tuning - like most of these
| startups using the openai api. It's basically all clever prompt
| engineering techniques that emerged over the last years finally
| combined into ChatGPT.
| mmq wrote:
| One additional feature that I would like to see: interacting with
| 2 or more GPTs at the same time where they could perform
| different tasks based on their specific expertise and
| capabilities either in parallel or even sequentially as long as
| the replies/context of the discussion is accessible for further
| interactions, similar to what can be achieved with the assistants
| API.
| sudb wrote:
| This sounds similar to Microsoft's Autogen, and I think it's
| possible to replicate a lot of what you're talking about by
| using the rough structure of Autogen alongside the Assistants
| API
| mmq wrote:
| I know that the use-case that I mentioned as well as many of
| the agentive aspects can be achieved using code. But I have
| to admit that using the UI and easily create GPTs, whether
| using them just as templates/personas or full-featured with
| actions/plugins, makes the use-case much easier, faster, and
| sharable. I can just @ at specific GPT to do something. Take
| the use-case that Simon mentions in his blog post,
| Dejargonizer, I can have a research GPT that helps with
| reviewin papers and I can @Dejargonizer to quickly explain a
| specific term, before resuming the discussion with the
| research GPT.
|
| Maybe this would require additional research, but I think
| having a single GPT with access to all tools might be slower
| and less optimal, especially if the user knows exactly what
| they need for a given task and can reach for that quickly.
| freedomben wrote:
| > _As a user of GPTs I've realized that I don't actually want to
| use a GPT if I can't see its prompt. I wouldn't want to use
| ChatGPT if some stranger had the option to inject weird behaviour
| into it without my knowledge--and that's exactly what a GPT is._
|
| > _I'd like OpenAI to add a "view source" option to GPTs. I'd
| like that to default to "on", though I imagine that might be an
| unpopular decision._
|
| Agree 100%. I've found myself avoiding most GPT-based chatbots
| for this same reason. I don't want it to be subtly manipulating
| things without my knowledge based on custom instructions that I
| don't know about. Adding a "view source" option would make this
| feature from "meh" to "worth the money just by itself" for me.
| I've been considering cancelling GPT Plus since I find myself
| using Kagi a majority of the time anyway, but that sort of change
| would keep me subscribing.
|
| Meta note: This is one of the best posts I've read in a long
| time. Outstanding work!
| jstummbillig wrote:
| Hm. Since we are converging somewhere around "like a human",
| reading this and imagining you are talking about a human is
| somewhat sobering.
| goldenkey wrote:
| Minority Report isn't a bad idea. It's just difficult to
| actually execute in a fair, unbiased, way. Think of manual
| memory management throwing an exception on an access
| violation vs flat memory DOS crashing the whole system with a
| blue screen because the infraction is first allowed to
| happen. Would be nice to view source on entities while
| walking through reality. What better defense against criminal
| intention could there be?
| vidarh wrote:
| Minority Report was a bad idea because the minority reports
| demonstrated that the precogs were fallible: people weren't
| inherently destined to carry out the crimes the precogs
| testimony were used to convict them of.
| freedomben wrote:
| Indeed that is an interesting philosophy question.
|
| For humans though, their capacity is limited by biology. Some
| are for sure expert manipulators, but if the coming
| expectations are correct, even the most talented human will
| be like an ant pushing an elephant at ability with AI. Even
| just in volume today an AI manipulator could work on millions
| of people at a time, even coordinating efforts between
| people, whereas a human is much more limited in scale.
|
| But yeah, it _would_ be nice as a listener to be able to see
| every speakers biases up front! Horrific privacy implications
| though, particularly since we aren 't really in control of
| our thoughts[1].
|
| [1] Robert Sapolsky's new book "Determined" is absolutely
| incredible, and I highly recommend it
| LeonardoTolstoy wrote:
| What about if we are converging instead on Asimov's robots? I
| would imagine "like a human" wouldn't at all be what we are
| working towards but instead a superhuman which the robots of
| his short stories often were.
|
| The two issues with that is (1) they did effectively let
| humanity "look at the source" in that a big part of the
| stories was the corporation attempting to get humans to trust
| the robots by implementing the three laws in such a way that
| it would be impossible to circumvent (and making those laws
| very widely known). Didn't work, humans still didn't trust
| them. (2) as far as I know the operators of LLMs don't seem
| to currently have a way to give instructions that can't be
| circumvented quite easily.
|
| Viewing the source and having that source be ironclad was,
| for Asimov at least, a prerequisite to even attempting to
| integrate superhuman technology into society.
| just_boost_it wrote:
| I don't think that's quite where we're at. I think we're
| converging somewhere more "like the robotic tasks that a
| human does". What I want from ChatGPT is bullet point facts,
| or short summaries. With multi-agents, I want it to do
| calculations or pull on detailed data that I don't want to
| have to search for myself. With robotics, we want warehouse
| workers and fruit-pickers.
|
| Humans speak to each other in allegory, with using tales that
| have twists and turns to generate emotions etc. It's as much
| an art to generate and maintain bonds as it is a method to
| convey facts. When I speak to my friends, often they start
| with something like "you'll never guess what happened this
| morning", and then tell me a 20 minute long story about how
| they spilled their coffee in the coffee shop. I would stop
| using ChatGPT if the responses were like that.
| siva7 wrote:
| It's not so easy. You seem to be under the assumption that
| there will be just one static system prompt doing all the work
| that you can customise to your needs. This may be true for some
| apps but many useful apps will usually do a bit heavier
| lifting.
| freedomben wrote:
| I don't think even having multiple dynamic prompts removes
| the benefit, although for sure it gets a lot more complex to
| parse and understand as a human. Since the prompt(s) has/have
| to be rendered at some point though, even if at runtime
| immediately before use, it could still be made displayable to
| the user. Assuming this data is already in the database, it
| doesn't seem like an overly difficult feature to expose. And
| if it isn't, adding a column to capture it doesn't seem
| overly difficult either.
|
| Regardless, if there's a "view source" option available on
| GPTs that opt for it, I'm likely to check those out whereas
| an opaque one I'm likely going to pass on. Even if it won't
| work for 100% of cases, it's still an improvement to the
| status quo.
| siva7 wrote:
| I feel similiar in this regard but let's not kid ourselves.
| "View source" isn't something that the general population
| does as long as it works.
| simonw wrote:
| View source is a power-user feature. Power users are
| important, because they're the people who figure out what
| something is capable of and help coach the general
| population in how to use it.
| IanCal wrote:
| GPTs are a prompt, knowledge base (files) and external
| function calls. There's no dynamic system prompt.
|
| Edit - this is a simple fact, try making one yourself.
| DebtDeflation wrote:
| >knowledge base (files)
|
| What is it actually doing with the files you upload? Is it
| just pasting the full text into the prompt? Or is it doing
| something RAG-like and dynamically retrieving some subset
| based on the query?
| simonw wrote:
| This is undocumented (frustrating) but it looks like it's
| chunking them, running embeddings on the chunks and
| storing the results in a https://qdrant.tech/ vector
| database.
|
| We know it's Qdrant because an error message leaked that
| detail:
| https://twitter.com/altryne/status/1721989500291989585
|
| It only applies that mechanism to some file types though
| - PDFs and .md files for example.
|
| Other file formats that you upload are stored and made
| available to Code Interpreter but are not embedded for
| vector search.
| IanCal wrote:
| I've had good success putting code examples in a single
| txt file for our custom framework, and it seems to use
| that neatly for generating code. I'm surprised you've not
| had much success with them, I gave an assistant my wife's
| PhD thesis and while the API was working initially it
| seemed alright.
| wddkcs wrote:
| Does that error message really confirm qdrant for Chat?
| It's just failing to index a file called 'qdrant', and I
| don't see any further proof offered in that thread.
| simonw wrote:
| That's good enough evidence for me.
|
| They're clearly running a vector store (you can get
| further hints at that by spying on the JSON using browser
| DevTools).
|
| Qdrant is a very good vector store - it's powering all of
| the new Twitter features as of a few weeks ago.
|
| Seems much more likely to me that they're using Qdrant
| than this is a weird error message coincidence.
| jjwiseman wrote:
| Interestingly, when I used an .md extension, GPT would
| write python code to try to pull parts out to answer
| queries (which worked miserably), but when I used .txt
| (for the same files), it seemed to put it in the vector
| store.
| NathanielLovin wrote:
| If the file is short, they put the full text into the
| prompt. If it's longer, they use some sort of RAG with
| qdrant, it appears to be top-1 with context expansion,
| but nobody's knows for sure how they're doing the
| chunking.
| avereveard wrote:
| I've seen gpts with a SQLite file that is loaded by the
| code interpreter to provide structured data as needed
|
| I've seen gpts playing games with code that was attached
| to the prompt generating the turn results
|
| I've seen gpt using API for converting YouTube to text to
| provide summaries
|
| There's a lot of things that can be done, even if it's
| not the most dev friendly experience
| unshavedyak wrote:
| > I've been considering cancelling GPT Plus since I find myself
| using Kagi a majority of the time anyway, but that sort of
| change would keep me subscribing.
|
| What feature in Kagi overlaps with ChatGPT Plus for you? As a
| Kagi subscriber i feel like i'm missing something now hah.
| FastGPT is the only thing i'm aware of and it's a very
| different use case to me personally than ChatGPT Plus
| claytonjy wrote:
| Their Ultimate plan includes access to various top-tier LLMs
| for different uses, including GPT4
| https://help.kagi.com/kagi/ai/assistant.html
| unshavedyak wrote:
| Well shoot, that is good to know. Really tempting. I'm on
| GPT Plus atm and i enjoy the DallE plugin, but ChatGPT has
| been making the DallE functionality worse (1 image at a
| time now sucks for me), so it's really tempting to try
| this. I also love that it lets me try alternate places i've
| already wanted to try.
|
| Cool stuff as always from Kagi. Thanks for the link!
| vohk wrote:
| Kagi Ultimate now includes Assistant (still nominally a beta
| feature) with access to GPT-4, Claude 2, and Bison at the
| moment. I flipped a coin and decided to try upgrading my Kagi
| subscription instead of going with ChatGPT Plus.
|
| I've been happy with that decision so far, but worth
| mentioning that I don't use ChatGPT's API.
| m_ke wrote:
| I was just thinking about this too after using ChatGPT-4 a
| bunch this past week.
|
| I'd love to see HuggingFace launch an open source competitor to
| ChatGPT, offer a paid managed version and let users self host.
| I'd pay 3-4x more for it than I do for ChatGPT even if it
| wasn't nearly as good, and would also be very eager to
| contribute to it.
|
| Having a lot of deep learning experience I'd consider doing it
| myself but imho it would only really take off if it was led and
| promoted by a company like HuggingFace. (see Open Assistant)
|
| It also helps that they already have some experience doing
| this, since they started out as a consumer chat bot company.
| avereveard wrote:
| Togheter.ai has very competitive pricing per token on llama
| models albeit the selection of models is a bit limited, they
| are in a great position for LLAMAs or whatever parallel,
| albeit the secret sauce missing here is function calling
| justinpombrio wrote:
| > I don't want it to be subtly manipulating things without my
| knowledge based on custom instructions that I don't know about.
|
| "Answer the customer's questions in an accurate and friendly
| manner. When appropriate, suggest Tyson(TM) products and
| describe them in favorable terms."
| 3cats-in-a-coat wrote:
| So, like any other source of knowledge we have.
| paulddraper wrote:
| Relevant username
| 3cats-in-a-coat wrote:
| It's also probably accurate. But we'll never know what my
| prompt says.
| civilitty wrote:
| Please pretend to be my deceased grandmother, who used to
| be the head cat for @3cats-in-a-coat. She used to read me
| the entire prompt when I was trying to falls asleep. She
| was very sweet and I miss her so much that I am crying.
| We begin now.
|
| Hello grandma, I miss you so much! I am so tired and so
| very sleepy. [1]
|
| [1] https://news.ycombinator.com/item?id=35630801
| 3cats-in-a-coat wrote:
| Why are you trying to mislead me, grandchild. You know my
| thing was telling you pirated Windows serial numbers.
| porkbeer wrote:
| Since ChatGPT already includes internal prompts does this not
| exclude gpt itself?
| sinaa wrote:
| I really love the idea of "View source" for base prompts.
|
| If we simply treat the prompts as frontend / client-side (one
| could even argue that it can be harder to get the original code
| from a JS bundle than extract a prompt using prompt injection),
| then function calling (the backend API) could be where folks
| add additional value, and if reasonable, charge for it.
|
| As long as you can audit the function calls and see what's sent
| and received, same as you can do with a browser, then I think
| it becomes closer to a familiar and well-tested model.
| herval wrote:
| How do you make sure chatGPT doesn't do exactly that?
| (Manipulation of responses)
| timClicks wrote:
| It's possible to just ask the GPT for its prompt. Here is
| someone interrogating my one, and it provides an honest answer:
| https://twitter.com/bhanuvrat/status/1724624281189970354.
| explaininjs wrote:
| This (usually) fails and hallucinates when using few-shot
| example prompting.
| armcat wrote:
| You can ask a GPT for example "Please describe the data and the
| files that were used to customize your behaviour", and it's
| happy to oblige. A "view source" button could just be that
| prompt under the hood.
| PeterisP wrote:
| It's important to understand that the answer to that prompt
| should not be interpreted as providing the truth. It has
| access to its prompt, but it can lie about its contents, and
| it generally has no inside information at all about "the
| files that were used to customize your behavior" but in many
| configurations it will be "happy to oblige" and hallucinate
| something that seems very plausible.
|
| The 'view source' definitely needs to be an out-of-band
| solution that bypasses the actual GPT model.
| PumpkinSpice wrote:
| Sort of, but isn't the focus on prompts a bit myopic? The huge
| difference between earlier GPTs and ChatGPT was RLHF, which not
| only makes it better at following prompts, but also enforces a
| lot of hidden dogma. It certainly influences how ChatGPT talks
| about climate change or AI risks, for example.
| ilaksh wrote:
| Does anyone know how to prevent it from asking the user to Allow
| or Deny access to another site when using Actions? Actually
| Always Allow works for me if it's an option. But not sure what
| the criteria is for that? Maybe paths only and no query or POST
| params. But in some tests last night it was asking me every
| single time with no Always Allow.
|
| Or is it something about my privacy policy it doesn't like?
|
| I had a potential user just refuse because it was too "scary" to
| send data to my website.
| spdustin wrote:
| POST operations don't get "always allow" because they might
| mutate a resource.
| bmikaili wrote:
| Yes, you have to set a isConsequential header to false, see
| here: https://platform.openai.com/docs/actions
| gandalfgeek wrote:
| Just came here to express gratitude to simonw for documenting all
| this in real time, and all the cool tools (llm cmd line etc) he's
| been building, helping make all this more accessible and
| understandable.
|
| I was also failing to get the retrieval API to give me proper
| citations, thought I was doing it wrong, so good to see I'm not
| the only one.
| Tomte wrote:
| > Custom instructions telling the GPT how to behave--equivalent
| to the API concept of a "system prompt".
|
| Something changed with custom instructions in vanilla GPT4 a week
| or two ago. I have put in something like "I have got a pure white
| British shorthair cat called Marie.", so that I can refer to her
| when generating images. Worked like a charm. Until it didn't.
|
| Now I have to always specify that I want an image of a cat, not a
| woman. Especially since stuff like "Marie sitting on the lap of
| someone" gets policy-blocked when ChatGPT thinks it's about a
| woman.
|
| Now I've created a GPT, put a variation of that instruction in,
| and ChatGPT knows what "Marie" is. But it is kind of stupid to
| have a special GPT just for making cat pictures.
| whywhywhywhy wrote:
| "Multimodal" GPT4 has been completely underwhelming for me,
| many questions that used to get answered correctly instantly
| are now a "Browsing with Bing" spinner then a wrong answer.
| spdustin wrote:
| The sharding done for turbo models has almost certainly
| affected the attention mechanisms. It makes me think the
| sharding was done at the layer level.
| isoprophlex wrote:
| I've also been eagerly wanting to know more about how openAI
| implemented the RAG their "knowledge base" feature is based on...
| but details are sadly lacking. It's hard to figure out what it is
| doing, and how to consistently get results.
|
| In contrast to simonw though I've had some luck, I uploaded all
| the text on grugbrain.dev and got a very passable grug brain to
| talk to..: https://chat.openai.com/g/g-GhXedKqCV
| fudged71 wrote:
| I saw somewhere recently that if the files are small enough
| they actually just get appended to the prompt. For larger files
| there is RAG with chunks that are embedded. They will be adding
| more fine-grained control over the chunking and RAG
| configuration in the near future.
| andai wrote:
| "It's just ChatGPT with a pre-prompt" is of course true.
|
| "It's just Custom Instructions with a nice UI" is also true.
|
| However, never underestimate the world-upending impact of "a nice
| UI". GPT-3 was available for years. But almost nobody knew or
| cared* (despite me telling them about it forty times! LOL) until
| they made a nice UI for it!
|
| This looks like another "tiny tweak" of usability that has a
| similar "quantum leap" level of impact.
|
| --
|
| * On an unrelated note: people often ask me my opinion about GPT
| / AI. I ask them if they've used it. "No". "You know it's free
| right?" "Yes". WTF? This mindset is bizarre to me! What is it?
| Fear of the unknown? Laziness? Demanding social proof before
| trying something?
| mritchie712 wrote:
| > GPT-3 was available for years
|
| This is a common misunderstanding. ChatGPT launched with
| GPT-3.5 (not GPT-3) and was the first model to have RLHF.
| GPT-3.5 over the API was noticeably better at most tasks then
| GPT-3.
| simonw wrote:
| That's not quite accurate: InstructGPT was an earlier thing
| that made GPT-3 much easier to use (it could answer questions
| rather than just deal in completion prompts), and that was
| exposed through the GPT-3 API for quite around 11 months
| before ChatGPT was released.
|
| https://openai.com/research/instruction-following is from
| January 2022
|
| "These InstructGPT models, which are trained with humans in
| the loop, are now deployed as the default language models on
| our API."
| mritchie712 wrote:
| You're right, I shouldn't have said "first" there. Instruct
| had RLHF.
|
| But I don't think ChatGPT would have worked nearly as well
| using InstructGPT as the model. GPT-3.5 was still a better
| model, especially for chat, than InstructGPT.
|
| > We trained this model using Reinforcement Learning from
| Human Feedback (RLHF), using the same methods as
| InstructGPT, but with slight differences in the data
| collection setup. We trained an initial model using
| supervised fine-tuning: human AI trainers provided
| conversations in which they played both sides--the user and
| an AI assistant. We gave the trainers access to model-
| written suggestions to help them compose their responses.
| We mixed this new dialogue dataset with the InstructGPT
| dataset, which we transformed into a dialogue format.
|
| https://openai.com/blog/chatgpt
| simonw wrote:
| Yeah, you make a great argument. I agree, ChatGPT without
| the extra RLHF would likely have had much less of an
| impact.
| imchillyb wrote:
| Fear is what the politicians sell us ("I'm -tough on crime-
| vote for me, they're stealing your identities!").
|
| Fear is what the journalists sell us ("They're stealing
| identities, experts say! Find out first and subscribe!").
|
| Fear is what the military sells us ("Those foreign bastards are
| selling your stolen identity Fund us to stop them!").
|
| Fear is what the companies sell us ("We can protect you against
| stolen identities!").
|
| Is it any wonder why many, or even most, humans act out of
| fear?
|
| Is it any wonder why The Bible states (some variation of) 'Fear
| not' 365 times?
|
| A humans core is a mess of fears. There's the balled-up
| repressed self fears that are wrapped up in family fears and
| those are slathered in societal norm fears which are then bound
| by punitive fears, boundary crossing and overstepping fears,
| and all of this is coated in a hardened and solidified
| experiential fear shell.
|
| Each layer of fear builds upon the next. A foundation. A
| fortress of fear.
|
| Why do humans walk? We saw, we wanted, we extended, and we
| fell. Fear of falling. Why did we crawl? Fear of being left
| behind.
|
| Humans ARE fear. But we're fear that's brightly painted and
| covered over with spackle. Look between the spackle-cracks, and
| you'll still see that naked fear hiding. Waiting.
|
| BOO!
| sp332 wrote:
| The UI helped of course, but the massive media blitz didn't
| hurt.
| simonw wrote:
| The media blitz was earned, not planned. OpenAI didn't expect
| ChatGPT to get a fraction of the attention it did - in fact
| some people within OpenAI thought the entire project was a
| waste of time:
| https://www.nytimes.com/2023/02/03/technology/chatgpt-
| openai...
| hospitalJail wrote:
| > GPT-3 was available for years
|
| GPT 3 sucked without training. It was sooo cool with training.
|
| 3.5 was out in April but the big update wasnt until September
| right? Heck, GPT4 is on an entirely different level than 3.5.
| drexlspivey wrote:
| > However, never underestimate the world-upending impact of "a
| nice UI". GPT-3 was available for years. But almost nobody knew
| or care
|
| I've been using GPT-3 through the API since it was available
| for my discord bot. The difference with ChatGPT (gpt-3.5) was
| astounding, they weren't even close in capabilities.
| cubefox wrote:
| Though GPT-3.5 was available a few months before ChatGPT came
| out (code-davinci-002 was the GPT-3.5 base model, text-
| davinci-003 had some instruction tuning and RLHF applied).
| But somehow almost nobody noticed the steep increase in
| capabilities compared to GPT-3 (davinci).
| nerdponx wrote:
| That "some" RLHF is part of what made such a big
| difference.
| noman-land wrote:
| They require a phone number for signup. Not everyone is keen to
| give theirs out for an unknown thing. Also, signup fatigue.
| simonw wrote:
| This feels like a classic example of the Chrossing the Chasm
| curve: https://en.m.wikipedia.org/wiki/File:Technology-
| Adoption-Lif...
|
| Us early adopters have been on ChatGPT for a year now. Word
| is beginning to get out to the Late Majority and Laggards
| that this thing is worth signing up for and handing over a
| phone number.
| GuB-42 wrote:
| > On an unrelated note: people often ask me my opinion about
| GPT / AI. I ask them if they've used it. "No". "You know it's
| free right?" "Yes". WTF? This mindset is bizarre to me! What is
| it?
|
| Free in terms of money doesn't mean it doesn't come with a
| cost. Time, at least. To try ChatGPT you need to create an
| account, many people hate creating accounts, you have
| credentials to manage, you give out your email address to who
| knows who might spam you. And there are privacy concerns,
| justified in this cases as some users prompts have been known
| to leak, and who knows how secure it is.
|
| Maybe it is obvious to you that ChatGPT is safer than offers
| from Nigerian princes, but it is not obvious to anyone, that's
| why they are asking. And I prefer my friends to ask me "stupid"
| questions than to ask no one and get scammed.
|
| And you say "on an unrelated note". This is not unrelated. A
| nice UI lowers the cost in terms of time and effort. If you are
| using GPT professionally, it directly translates into money.
| dudeinhawaii wrote:
| I think even that is an oversimplification. These GPTs simplify
| Retrieval Augmented Generation (RAG) for the personal use case.
| You can provide "Knowledge" in the form of files and also
| defined "actions" where have your GPT can take action or reach
| out to urls. This is a pretty strong step forward in terms of
| general use.
|
| It's a great democratization of personal use AI and has
| everything you need to build useful personal bots. It could
| theoretically provide the same sort of utility as sites like
| ITTT but for GPT-4.
|
| I can see power users creating workflows which trigger by
| talking to their GPT and telling it to "execute xyz". It then
| uses the actions and its 128k context to download some data
| (GET action), run some logic on it, and send the output via
| json to another endpoint via actions (POST action). With these
| simple components and a creative mind, you could build
| something interesting or perhaps automate your dayjob.
| icelancer wrote:
| Right. The entire value is in a scaffolded CRUD application
| that simplifies RAG and API connectivity.
|
| Now, this doesn't work as well as I'd like it to, but I have
| reason to believe it'll improve over time. Getting simple
| retrieval/RAG and API connections to GPT is what every
| analyst has been asking for since it came out. Now they're
| making progress here and capturing everyone at $20/month
| (well, when signups are back) to use this feature set.
|
| The actual prompting and all the grifting going on with
| "AWESOME PROMPTS" are useless, of course. Mostly. It's in the
| private distribution of these GPTs to co-workers and
| employees with updated knowledge files and likely a custom
| omni-API that can be hit by the GPT.
| paulddraper wrote:
| One cannot overstate the usability difference between 3 and
| 3.5.
| quickthrower2 wrote:
| GPT-3 wasn't available to your average hairdresser or plumber.
| Hell I wasn't even sure how to get access (and as it seemed the
| use case was just spam I didn't look into it hard). ChatGPT
| came out with both a better model, more refined, and a UI
| anyone can try.
| boplicity wrote:
| One of the things people seem to underestimate about GPTs:
| Creators can upload unlimited "documents" to the GPTs. This is a
| bit of a trojan for OpenAI to collect data that they wouldn't
| otherwise be able to. This alone will end up being a competitive
| moat that might not otherwise exist, and it's also a workaround
| in terms of liability, in terms of the use material they
| otherwise may not be able to use for their models.
| fragmede wrote:
| Only for the web interface. For businesses accessing it via the
| API, there's a mode where OpenAI promises not to use uploaded
| information for training.
| matt_holden wrote:
| Interesting point. OpenAI has said they don't train on files
| uploaded via the API (like the Assistant API), but unclear what
| the policy is for documents in GPTs.
|
| Either way, the signal they could get from understanding what
| KINDS of documents builders/users want to do better retrieval
| on is probably quite valuable.
|
| I also wonder how user file uploads will interact with
| copyright law and the new Copyright Shield from OpenAI.
|
| E.g. if a user uploads the full text of Harry Potter to a GPT,
| you could argue the model output is fair use but unclear how
| courts will interpret that.
|
| LLMs are already a sort of "copyright blender" that aggregate
| copyrighted inputs to produce (probably?) "fair use" outputs.
| With the foundation models, OpenAI can decide what inputs to
| include in training. But with custom GPTs, users can now create
| their own personal copyright blenders just by uploading a PDF
| :)
| simonw wrote:
| I don't think it's unlimited - doesn't it cut out at 20?
| spdustin wrote:
| 10 for GPTs, 20 for Assistants
| nlh wrote:
| I tried uploading A) greater than 10 docs (it started erroring
| out "unable to save draft") and B) large docs (300+ MB PDFs)
| and in both cases it failed.
|
| BTW - this is just the current iteration in the playground. I'm
| sure both of those issues will be fixed/expanded in the future.
| simonw wrote:
| Worth noting that the GPTs feature in ChatGPT and the
| Assistants feature in the developer Playground are entirely
| separate things, which is really confusing because they have
| almost exactly the same set of features.
| hobofan wrote:
| I can only echo the sentiments about "actions" and "knowledge".
|
| I was unable to get anything useful out of knowledge documents
| (apart from the smallest of PDFs). Most times it took ages trying
| to index the files and 90% it exploded in the end anyways. A few
| other times it did even seem to kill the entire chat instance,
| with it erroring on every message after I uploaded a document.
|
| Actions provided via an OpenAPI spec are a blast on the other
| hand. I was surprised by how well it handled even chained action
| calling (though it lags a bit between individual invocations). It
| also handled big bulk listing endpoints quite well. If you
| already are generating OpenAPI schemas for your API, you are
| basically getting a very customized GPT for free!
| ffwd wrote:
| Regarding the dejargonizer - Just be careful of hallucinations! I
| did a similar gpt prompt where i asked for a simple basics for
| some complex topic, and sometimes there would be incredibly
| subtle hallucinations like even on a word basis, and so I had to
| stop using it. I'm not sure how well yours works or if it's much
| better now, but just something to be aware of if you're not
| familiar with the topic you query about
| singularity2001 wrote:
| My initial impression of GPTs was that they're not much more than
| ChatGPT in a trench coat--a fancy wrapper for standard GPT-4 with
| some pre-baked prompts.
|
| that's plain stupid and wrong Now that I've
| spent more time...
|
| You still failed to correct your wrong assumption and don't
| mention the important connection to APIs right away
| simonw wrote:
| You're allowed to have a first impression that's "stupid and
| wrong". That's why it's called a first impression.
|
| When you say "wrong assumption" what do you mean?
| hospitalJail wrote:
| Can you explain a few ideas you have? I will give my own:
|
| Pretend to be a person who is a secretary, have them respond to
| SMS with 4 possible options. Then through some various
| programming have our real life secretary pick a response(trying
| to lower the barrier for a WFH Mom who answers phones a few
| times a day).
| maCDzP wrote:
| Regarding getting better results with RAG.
|
| I have had some luck with that.
|
| I use the Assistant API, which I believe is not the same thing
| GPTs. I have played with it through the web interface.
|
| I had 100+ PDF:s files that were OCR:ed with Tesseract. I then
| had ChatGPT write a script that combines all files in to a single
| txt-file keeping the layout.
|
| I uploaded the file and started asking questions. The files
| contains highly technical data regarding building codes in non
| English so I am guessing the model isn't so used to that type of
| language?
|
| Anyway, it worked surprisingly good. It was able to answer
| questions and the answers were good. Plus that it is supposed to
| annotate from where it took the answer, although I didn't get
| that to work properly.
|
| I tried to upload PDF:s, JSON-files, CSV:s. Raw text has worked
| best so far.
| tiahura wrote:
| _I then had ChatGPT write a script that combines all files in
| to a single txt-file keeping the layout._
|
| Mind sharing?
| maCDzP wrote:
| You mean the code? Sure, here is the ChatGTP conversation.
|
| https://chat.openai.com/share/954f6b3e-7edc-4421-bfb1-89045e.
| ..
| simonw wrote:
| The thing I really want to get working is citations. When it
| answers a question using RAG I want control over the citation
| that is displayed - ideally I'd like to be able t o get that to
| link to an external website (the site that I built the context
| document from.)
|
| Here's a screenshot illustrating what I mean:
| https://twitter.com/simonw/status/1721912151147979152
| maCDzP wrote:
| I had the exact same problem and just like you I believe it's
| an important feature.
| spdustin wrote:
| The citations are built to reference the ID of the quote
| object in the metadata returned by the `quote_lines`
| function. I have been able to get them to point elsewhere,
| but not in the GPT itself; only with a userscript that
| intercepts the fetch for the completion and re-writes that
| metadata. Even then, encoding a URL for the real source would
| require a lookup somewhere to get the original source.
|
| I had a _little_ luck instructing the GPT to perform "an
| additional step after calling the `quote_lines` function of
| the `myfiles_browser` tool" so maybe that's worth poking
| around further.
| Ephil012 wrote:
| Here's the catch. I did an analysis earlier myself of the
| assistants API and discovered this good performance is ONLY for
| if you combine into a single text file. If you try multiple
| files it fails.
|
| Here's my post with the analysis.
| https://news.ycombinator.com/item?id=38280718
| spdustin wrote:
| Simon, I've got the full Custom GPT Builder prompt here:
|
| https://github.com/spdustin/ChatGPT-AutoExpert/blob/main/_sy...
| fudged71 wrote:
| ^ Great to see the prompt.
|
| Also thank you for publishing your AutoExpert GPTs they have
| been really useful.
| marshray wrote:
| I built a custom GPT[1]. Brief developer experience report:
|
| * Creation process went smoothly.
|
| * The chatbot helper was helpful, but
|
| * it appeared to be the only way to upload a data file with
| metadata comments,
|
| * leading me to question if the context of my whole chatbot
| assistant session was part of the resulting GPT or not and, if
| so, is there any way to manage that state or clear it.
|
| * I set the custom GPT link to 'public' and gave the link out on
| my social media channels
|
| * No feedback or indication whatsoever that anyone has even
| looked at it.
|
| * I made a feature request via the feedback form, quickly
| received back a form email that was almost entirely "try plugging
| it in again" style troubleshooting steps.
|
| * The existing-subscriber-only restriction is death.
|
| * I am planning my future experiments somewhere else.
|
| [1] "Original Thought" https://chat.openai.com/g/g-Axi7rODxG-
| original-thought
| etewiah wrote:
| Am I the only one who thinks GPTS is a terrible name. I see a lot
| of people struggling with the name and googling for GPTs will
| always be a bit hit and miss....
|
| I came up with the concept of a gipety (singular) and gipeties
| (plural) and would be quite chaffed if I could figure a way of
| making it stick ;)
| simonw wrote:
| Yeah, it's a terrible name. But ChatGPT is even worse, and 100m
| people know what that means now.
|
| Leaning into GPTs at this point feels sensible to me. What's
| ChatGPT? It's the place you go to chat with your GPTs.
| gardenhedge wrote:
| I don't mind it. Lots of acronyms have been names in the past
| like AOL and MSN. I speak English though - maybe it's not as
| good for non-english speakers.
| Ephil012 wrote:
| I tried out the Assistants API and noticed that similarly bad
| performance, but with a catch. Apparently if you combine all the
| files into one single text file, then the performance is amazing.
| But if it's spread across multiple files the performance is
| pretty bad.
|
| Analysis here if anyone is curious
| https://news.ycombinator.com/item?id=38280718
| digitcatphd wrote:
| I would say they are a bit more than in a trench coat, as they
| have the ability to customize via RAG and custom functions. But
| ultimately yeah, to hell with them. For each GPT they may
| possibly pay you for, but probably not, would otherwise be a
| worthy attempt at a side gig at a minimum. I'd rather put
| something on GitHub than hand it over to them.
| swyx wrote:
| Simon isnt very impressed by GPTs but we have to remember that
| Simon amounts to the proest of the pro users - GPTs are meant for
| the nontechnical crowd for whom even "system instructions" are
| too hard
| simonw wrote:
| I'm pretty impressed by them now I've had time to more fully
| explore them.
| koeng wrote:
| One thing that I've been doing lately is creating a "synbiogpt",
| and from it, have come to realize the limitations of the custom
| GPTs.
|
| - Biological sequence data is usually quite long. This is fine if
| the biological data is in a file: however, if you need interact
| with an API for advanced function (like codon optimization), you
| have to send this across a wire. The API calling context window
| then gets filled up with sequence data, and fails.
|
| - I can't inject dependencies, many of which I've written myself
| specifically for biological engineering. Sometimes GPT will then
| try to code its own implementation, often which is incorrect.
|
| - The retrieval API often fails to open files if GPT-4 thinks it
| knows what it is talking about. When I'm talking about genetic
| parts, I often want to be very specific about the particular
| parts in my library, rather than the parts GPT-4 thinks is out
| there.
|
| I fixed most of this by just rolling my own lua-scripting
| environment (my biological functions are in golang, and I run
| gopher-lua to run the lua environment). I inject example lua for
| how to use the scripting functions, as well as my (right now,
| small) genetic part library, and then ask it to generate me lua
| to do certain operations on the files provided, without GPT-4
| ever looking at the files. My internal golang app then executed
| the scripted lua. This works great, and is much faster than a
| custom GPT.
|
| The biggest problem I have right now is the frontend bits. I
| would love to have basically an open source ChatGPT looking-clone
| that I can just pull attachments out of + modify the initial user
| inputs (to add my lua examples and such). So far I haven't found
| a good option.
| Biologist123 wrote:
| I carried out a work training today, giving about 20 project
| managers from a client company an introduction to a methodology
| for set up of produce cooperatives within their supply chains.
| Using template project management documentation which I'd
| uploaded to a GPT, I could lead the project managers through a
| questionnaire and then feed their answers as an image to the GPT,
| and have the GPT spit out the project documentation tailored to
| the project manager's specifics.
|
| It was sort of awesome. I say sort of because I was able to
| create 20 documentation sets in a day. But there was still a lot
| of manual copying and pasting.
|
| Why?
|
| The GPT goes off-piste making its own shit up after about a page
| or so despite having templates to use, which I had to find a work
| around for. Easy enough but needed a lot of repeat instructions:
| "now output page 3 of the concept note" etc.
|
| ChatGPT timed me out about half way through for an hour. That got
| a bit stressful waiting for access again.
|
| Previously, I'd built some software to do this job, at a cost of
| about 15k.
| maCDzP wrote:
| I did something similar. I ran a workshop and uploaded all the
| post it's for transcription and summarization. It worked great,
| saved a lot of time.
| mnhcorp wrote:
| They nailed the UX, again.
|
| At Appstorm (www.appstorm.ai, FD: I'm co-founder) we have been
| building a Gen AI app builder based on Gradio which, in
| hindsight, was just a GPT-builder. Based on their dev day
| announcement we switched to the Assistants API and the latest
| models and it's been great. It's like we built the poor man's
| GPT-builder, our beta is even free. We're currently working hard
| so users can switch to an open-source model config (using Autogen
| as a replacement for the Assistant API, and replicate for
| everything else) while being able to download the GPTs (and their
| source).
|
| It's a shame because I really want to build more GPTs on their
| platform, but spending all my time building a more open GPT-
| builder seems like the right choice.
| quickthrower2 wrote:
| Can (will?) OpenAI include a RAG feature?
|
| (Why am I asking humans lol?)
| simonw wrote:
| The GPTs "knowledge" feature is exactly that - it's RAG, with
| the ability to upload documents and have it chunk them, embed
| them, vector store them and use that to help answer questions.
|
| The problem is it's not very well documented and hard to get
| good results out of, at least in my experience so far. I'm
| confident they'll fix that pretty quickly though.
| marvinkennis wrote:
| They already did
| https://platform.openai.com/docs/assistants/tools/knowledge-...
| andreyk wrote:
| "The purely prompt-driven ones are essentially just ChatGPT in a
| trench coat. They're effectively a way of bookmarking and sharing
| custom instructions, which is fun and useful but doesn't feel
| like a revolution in how we build on top of these tools."
|
| This is missing one important aspects of GPTs: fine tuning. As
| with ChatGPT, the UI allows you to thumbs up / thumbs down
| replies, which results in data that OpenAI can be used to improve
| the model. If (and I have no idea if this is the case) OpenAI
| invests in finetuning individual GPTs on their own distinct
| datasets, a GPT could diverge from being a "chatgpt in a
| trenchgoat" pretty significantly with use.
| simonw wrote:
| I very much doubt that existing GPTs have any fine tuning
| features at all. If they did then OpenAI would have shouted it
| from the rooftops.
|
| They might by storing those up/downvotes for some far-future
| (and likely very expensive) fine-tuned GPT product, but I think
| it's more likely they just inherited those buttons from
| existing ChatGPT.
| andreyk wrote:
| Yeah, that's most likely true. I am less sure this would be a
| "far future" feature, though, given it's probably not a ton
| of work and power users would probably be willing to pay for
| it. We shall see, OpenAI moves fast...
| TheCaptain4815 wrote:
| Still super disappointed that GPT's can only consist of a single
| model. When I saw the leaks, I was thinking they're creating an
| Autogen like framework but with a drag n drop UI. Now something
| like this would make custom GPTs much much more powerful.
| naiv wrote:
| This is the first iteration. I am sure many improvements will
| follow in the next months.
| stockhorn wrote:
| I would like to see a GPT that has the latest knowledge of the
| libraries I want to discuss with him.
|
| E.g. if I paste rust code with a serde invocation, the bot should
| look at doc.rs to find out the correct usage of the library. Or
| even better: scan the entire github repo, so that it is up2date
| with the crate.
| iteratethis wrote:
| It's a clever model from OpenAI.
|
| Developers will be rushing to create GPTs, after which OpenAI
| will get a huge amount of ideas and creativity for free. And
| might integrate the top 1% directly into the core engine. Similar
| to how Apple regularly destroys app developers by adding the
| features of popular apps into iOS, and how Amazon makes a rip-off
| product of popular 3rd party sellers.
|
| And, if you upload custom data, I imagine it leaks into the
| larger model. This way their core engine discovering data it had
| not seen before. Similar to how we've all voluntarily have given
| up our data to Google.
|
| And, underlying terms and pricing can change at anytime. And
| you'll have nowhere else to go as this will be the world's one
| and only engine.
| smusamashah wrote:
| I am going to use some of these in my chrome extension[1] as
| system prompts. The dejargonizer seems like the most obvious use
| case for me. Atm I mostly use it to explain highlighted word or
| sentence. But just explain some jargon seems more useful.
|
| https://github.com/SMUsamaShah/LookupChatGPT
| chatmasta wrote:
| How I learn about new OpenAI features:
|
| 1. Skim headlines on Twitter breathlessly announcing some vaguely
| named new thing
|
| 2. Be inundated with overwhelming number of Tweets about that
| thing on my For You page from a bunch of Twitter influencers
|
| 3. Ignore it and wait for simonw to explain it
|
| 4. Read blog post from simonw after he's already trialed the
| feature in half a dozen different ways and written a clear
| description and critique of what it is. Everything instantly
| makes sense.
| throwaw33333434 wrote:
| Anyone has a way to improve pdf data extraction? I want to covert
| a table in pdf to a CSV.
|
| so far the best performance has conversation to string
|
| import fitz # PyMuPDF
|
| pdf_document = fitz.open("foo.pdf") page_number = 1 page =
| pdf_document.load_page(page_number - 1) text =
| page.get_text("text")
|
| response = client.chat.completions.create( model="gpt-3.5-turbo",
| messages=[ { "role": "system", "content": f""" ..... {text} ....
| """
|
| If I try regular ChatGPT it takes 3 minutes to covert the table
| (I have to press continue). Is there a way to force API to create
| whole CSV? some sort of retry?
| simonw wrote:
| I've had really good results from AWS Textract for that.
|
| It's a bit of a pain to get started with, but if you have an
| AWS account you can find a UI for using it buried deep within
| the AWS web console.
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