[HN Gopher] Two kinds of LLM responses: Informational vs. Instru...
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Two kinds of LLM responses: Informational vs. Instructional
Author : shabie
Score : 60 points
Date : 2024-09-23 23:02 UTC (3 days ago)
(HTM) web link (shabie.github.io)
(TXT) w3m dump (shabie.github.io)
| bbor wrote:
| Well put! If you/y'all haven't heard, there's a popular breakdown
| of "technical documentation" into four types, and this is one of
| the axes: https://nick.groenen.me/posts/the-4-types-of-technical-
| docum...
|
| People's names for the four types vary, but I'm personally a fan
| of naming the axes "propositional vs procedural" and
| "informational vs developmental", giving us a final four
| categories (00, 01, 10, 11) of "References", "Instructions",
| "Lessons", and "Tutorials". I think the applicability to LLM
| clearly holds up! Though more so for advanced chatbots than HR
| widgets TBF, I doubt anyone is looking for developmental content
| from one of those.
| shabie wrote:
| Thanks a lot for sharing, I have not heard of this before.
| niobe wrote:
| Well put, and separating these would be a good use case for
| system prompts e.g.
|
| llm -m model --save instructional --system "provide the detailed
| steps to achieve the outcome, using a suitable example if
| necessary"
|
| llm -m model --save informational --system "provide a concise
| conceptual overview but do not provide implementation steps or
| detailed examples"
| shabie wrote:
| That's actually a pretty interesting point. Not just evals but
| other components like system prompt should also be tailored to
| match the expected outcome.
| js8 wrote:
| I wish there also was a distinction between truthful and
| whimsical.
| fuzzy_biscuit wrote:
| When I was doing SEO full-time, this is one of the ways we used
| to categorize content - via intent. As a result, my immediate
| question becomes: how long before those responses start to be
| subsumed by commercial intent responses? To me, this is an
| inevitability. A when, not an if.
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