Large language models are having their Stable Diffusion moment

Re:Large language models are having their Stable Diffusion m... by BulgarianIdiot on Sunday March 12, 2023 @08:31AM (#35119315)

Oh so there's no memory, just recallable history.

Oh so it's not learning by example, it's just primed by a sample.

Oh so there's no iteration of thought, just a loop of prediction.

OK.

Also, the papers you asked about: https://news.ycombinator.com/item?id=35115563

BTW, people are already implementing recursive/iterative queries on the ChatGPT API, and getting promising results.

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Re:Large language models are having their Stable Diffusion m... by LawTalkingGuy on Sunday March 12, 2023 @12:41PM (#35122364)

The langchain project is an example of the iterative queries approach. It comes with constructs for working memory, factual lookup / calculation agents, etc.

https://github.com/hwchase17/langchain

The general (non-technical) guideline is that the LLMs can "answer" anything you just gave them the answer for. So you give it a problem, ask it how to solve it, tell it to use that method and explain the data it needs, give it that data, and then show it everything at once: "With this data you requested and summarized, use this technique to answer this question".

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