11–20 of 106 posts
I haven't yet figured out how to get an LLM to accurately determine whether it actually knows something or is making it up. I wonder how they handle that. They may get to that at some point in the article, but the page eventually breaks for me on mobile and I can't read past the first code block.
From the Github project readme >Agent: (since 1.15) An Agent is a component that is powered by an LLM, such as GPT-3. It can decide on the next best course of action so as to get to the result of a query. It uses the Tools available to it to achieve this. While a pipeline has a clear start and end, an Agent is able to decide whether the query has resolved or not. It may also make use of a Pipeline as a Tool. Emphasis…
Are there any projects similar to this that use other languages? I don't have anything against Python. But I would prefer using Go if there are alternatives. I experimented with LangChain and this appears to be a similar idea but they are all based on iPython notebooks and that ecosystem.
Could someone in the know compare this with LangChain ( https://github.com/hwchase17/langchain )?
I haven't yet figured out how to get an LLM to accurately determine whether it actually knows something or is making it up. I wonder how they handle that. They may get to that at some point in the article, but the page eventually breaks for me on mobile and I can't read past the first code block.
i agree. LLMs are not built for structured reasoning or even citations.
Are there any projects similar to this that use other languages? I don't have anything against Python. But I would prefer using Go if there are alternatives. I experimented with LangChain and this appears to be a similar idea but they are all based on iPython notebooks and that ecosystem.
Python seems the go-to language for most ML work. Are there any wrappers you could use to call these frameworks from within Golang?
Earlier quoted context omitted.
i agree. LLMs are not built for structured reasoning or even citations.
Gpt-4 does a reasonable job citing things. It can’t cite every paper out there but definitely the well cited ones.
I would bet it does, at least some percent of the time.
I haven't yet figured out how to get an LLM to accurately determine whether it actually knows something or is making it up. I wonder how they handle that. They may get to that at some point in the article, but the page eventually breaks for me on mobile and I can't read past the first code block.
It would be interesting if you could somehow combine a wallet plugin to give the GPT something to work to increase. That + that AutoGPT repo from a day ago + maybe Mitogen for self-replication might be a cool combo to really kick off a fun "dumb" AI on the loose