97
Who makes money when AI reads the internet for us? (www.engadget.com)
submitted 2 years ago by to c/technology@lemmy.world
31 comments fedilink hide all child comments
you are viewing a single comment's thread
view the rest of the comments
[–] 3 points 2 years ago (1 child)

Current AI can already "read" documentation that isn't part of its training set, actually. Bing Chat, for example, does websearches and bases its answers in part on the text of the pages it finds. I've got a local AI, GPT4All, that you can point at a directory full of documents and tell "include that in your context when answering questions." So we're we're already getting there.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 2 child comments
    •
  • [–] 5 points 2 years ago (2 children)

    Getting there, but I can say from experience that it's mostly useless with the current offerings. I've tried using GPT4 and Claude2 to give me answers for less-popular command line tools and Python modules by pointing them to complete docs, and I was not able to get meaningful answers. :(

    Perhaps you could automate a more exhaustive fine-tuning of an LLM based on such material. I have not tried that, and I am not well-versed in the process.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 4 child comments
    •
  • [–] 2 points 2 years ago (1 child)

    I'm thinking a potentially useful middle ground might be to have the AI digest the documentation into an easier-to-understand form first, and then have it query that digest for context later when you're asking it questions about stuff. GPT4All already does something a little similar in that it needs to build a search index for the data before it can make use of it.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 2 child comments
    •
  • [–] 1 point 2 years ago (1 child)

    That's a good idea. I have not specifically tried loading the documentation into GPT4All's LocalDocs index. I will give this a try when I have some time.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 2 child comments
    •
  • [–] 3 points 2 years ago

    I've only been fiddling around with it for a few days, but it seems to me that the default settings weren't very good - by default it'll load four 256-character-long snippets into the AI's context from the search results, which is pretty hit and miss on being informative in my experience. I think I may finally have found a good use for those models with really large contexts, I can crank up the size and number of snippets it loads and that seems to help. But it still doesn't give "global" understanding. For example, if I put a novel into LocalDocs and then ask the AI about general themes or large-scale "what's this character like" stuff it still only has a few isolated bits of the novel to work from.

    What I'm imagining is that the AI could sit on its own for a while loading up chunks of the source document and writing "notes" for its future self to read. That would let it accumulate information from across the whole corpus and cross-reference disparate stuff more easily.

  • permalink
  • fedilink
  • source
  • parent