4 ms·
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, jus
by BulgarianIdiot 4y ago
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 https://news.ycombinator.com/item?id=35115563
BTW, people are already implementing recursive/iterative queries on the ChatGPT API, and getting promising results.
- LawTalkingGuy 4y agoThe 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 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".