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Re:Introducing Agents in Haystack: Make LLMs resolve complex... by jcims on Monday April 03, 2023 @07:49PM (#35433084)
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 mine. Having tinkered with LangChain I think the idea of a recursive and/or graph-oriented model is going to yield interesting phenomena in the overall feel of these language models. LangChain agents are already super impressive.

Re:Introducing Agents in Haystack: Make LLMs resolve complex... by Art9681 on Monday April 03, 2023 @08:29PM (#35433398)
I've been tinkering with LangChain for a few days and I agree. Is there a resource that collects the agents so we can experiment? I'd love to see an aggregated list of the most impressive agents and use cases if anyone knows of any. This stuff is the future of computing no doubt.
Re:Introducing Agents in Haystack: Make LLMs resolve complex... by nico on Monday April 03, 2023 @08:57PM (#35433593)
There is a LangChainHub mentioned in their docs, but the repo for it seems dead.

Is there any sort of marketplace/AppStore for agents/tools/plug-ins for LLMs via LangChain? Or some other library like haystack?

Re:Introducing Agents in Haystack: Make LLMs resolve complex... by fire on Tuesday April 04, 2023 @12:59AM (#35435273)
closest i've seen so far is https://llamahub.ai, but afaict it's only for loaders atm
Re:Introducing Agents in Haystack: Make LLMs resolve complex... by antti909 on Tuesday April 04, 2023 @06:26AM (#35437454)
Thanks for the emphasis :) Accurate!