[HN Gopher] Let's Build the GPT Tokenizer [video]
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       Let's Build the GPT Tokenizer [video]
        
       Author : davidbarker
       Score  : 269 points
       Date   : 2024-02-20 17:20 UTC (5 hours ago)
        
 (HTM) web link (www.youtube.com)
 (TXT) w3m dump (www.youtube.com)
        
       | threesevenths wrote:
       | Andrej's video on building GPT nano is an excellent tutorial of
       | all of the steps involved in a modern LLM.
        
         | xdennis wrote:
         | https://www.youtube.com/watch?v=kCc8FmEb1nY
        
       | sabareesh wrote:
       | Even if you pay it is hard to get such a high quality content!
        
         | progbits wrote:
         | I've been learning a few new CS things recently and honestly I
         | mostly find inverse correlation between cost and quality.
         | 
         | There are books from oreilly and paid MOOC courses that are
         | just padded with lots of unnecessary text or silly "concept
         | definition" quizzes to make them seem worth the price.
         | 
         | And there are excellent free YT video lectures, free books or
         | blog posts.
         | 
         | Andrej's YT videos are one great example.
         | https://course.fast.ai is another.
        
           | simmanian wrote:
           | Do you have recommendations for other high quality courses
           | teaching CS things?
        
             | davidbarker wrote:
             | I can highly recommend CS50 from Harvard
             | (https://www.youtube.com/@cs50). Even after being involved
             | in tech for 25+ years, I learnt a lot from just the first
             | lecture alone.
             | 
             | Disclosure: Professor Malan is a friend of mine, but I was
             | a fan of CS50 long before that!
        
             | GaneshSuriya wrote:
             | - operating system in three easy pieces
             | (https://pages.cs.wisc.edu/~remzi/OSTEP) is incredible for
             | learning OS internals
             | 
             | - beej's networking guide is the best thing for network
             | layer stuff https://beej.us/guide/
             | 
             | - explained from first principles great too
             | https://explained-from-first-principles.com/
             | 
             | - pintos from Stanford https://web.stanford.edu/class/cs140
             | /projects/pintos/pintos_...
        
             | diimdeep wrote:
             | Build an 8-bit computer from scratch
             | https://eater.net/8bit/ https://www.youtube.com/playlist?li
             | st=PLowKtXNTBypGqImE405J2...
             | 
             | Andreas Kling. OS hacking: Making the system boot with
             | 256MB RAM https://www.youtube.com/watch?v=rapB5s0W5uk
             | 
             | MIT 6.006 Introduction to Algorithms, Spring 2020 https://w
             | ww.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3T...
             | 
             | MIT 6.824: Distributed Systems
             | https://www.youtube.com/@6.824
             | 
             | MIT 6.172 Performance Engineering of Software Systems, Fall
             | 2018 https://www.youtube.com/playlist?list=PLUl4u3cNGP63VIB
             | QVWguX...
             | 
             | CalTech cs124 Operating Systems
             | https://duckduckgo.com/?t=ffab&q=caltech+cs124&ia=web
             | 
             | try searching here at HN for recommendations
             | https://hn.algolia.com
        
               | nojvek wrote:
               | Thank you a ton for the links.
        
           | thfuran wrote:
           | >And there are excellent free YT video lectures, free books
           | or blog posts.
           | 
           | There's also a tremendous amount of extremely low quality
           | YouTube and blog content.
        
             | progbits wrote:
             | Sure. I don't claim the free content is all good.
             | 
             | But from my limited sample size, the best free content is
             | better than the best paid content.
        
           | GaneshSuriya wrote:
           | It's not only about the cost, though. There's an inverse
           | correlation with the glossiness of the content as well.
           | 
           | If the web page /content is too polished, they're most likely
           | optimizing for wooing users.
           | 
           | Unlike a lot of the examples I gave in the sibling comments.
           | Where the optimization is only on the love for the topic
           | being discussed
        
             | rahimnathwani wrote:
             | There's an inverse correlation with the glossiness of the
             | content as well.
             | 
             | This is probably due to survivorship bias. Sites that have
             | poor content and poor visual appeal (glossiness) never get
             | on your radar.
             | 
             | i.e. Berkson's Paradox:
             | https://en.wikipedia.org/wiki/Berkson%27s_paradox
        
           | danielmarkbruce wrote:
           | There are some extremely good CS textbooks which cost money.
           | That being said, many good ML/AI texts are free. But it's not
           | easy reading.
        
         | 3abiton wrote:
         | His previous video onLLM tramsformer foundation is extremely
         | useful.
        
       | mrtksn wrote:
       | I can't recommend enough the whole series, zero to hero:
       | https://karpathy.ai/zero-to-hero.html
       | 
       | No metaphors trying explain "complex" ideas, making them scary
       | and seem overly complex. Instead, hands on implementations with
       | analogy explainers where you can actually understand the ideas
       | and see how simple it is.
       | 
       | Steeper learning curve at first but it is much more satisfying
       | and you actually earn the ability to reason about this stuff
       | instead of writing over the top influencer BS.
        
         | MPSimmons wrote:
         | Thanks for this link - I have some free time coming up, and
         | this seems like a great use of it!
        
       | moffkalast wrote:
       | > you see when it's a space egg, it's a single token
       | 
       | I'm not sure if the crew of the Nostromo would agree ;)
        
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       (page generated 2024-02-20 23:00 UTC)