Better documentation for understanding how custom agents work @samcwl added some much needed comments in both the documentation and the below notebook on the expected LLM output to get it to work with custom agents https://
langchain.readthedocs.io/en/latest/modu
les/agents/examples/custom_agent.html
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AGENTS
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Improved Documentation for Custom LangChain Agents
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Character AI: dialogue with pre-programmed or created characters
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6. Character AI Talk to pre-programmed characters, from historians to famous people, or create your own. Free to use. http://
Character.ai -
ClerkieAI Advanced Question Answer Bot Now Live
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If you like this and want a more advanced version of this for your codebase, you should check out @ClerkieAI Their question answer bot is live on our Discord:
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Onesta’s AI Financial Advisor and New AI Tools
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Onesta's AI Financial Advisor seems to be really popular today
Check it out and other tools added today here: https://
futurepedia.io/recent -
LangChain Wolfram Alpha Integration Showcased in New Video
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An awesome video by @JavaFXpert and @dralandthompson highlighting the LangChain Wolfram Alpha integration that @nickscamara_ did last week!
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Fantasy of Forking Into 1000 Parallel Threads
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Rather, I fantasize about forking myself into 1000 parallel threads.
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Reinforcement Learning Agents Goals and Multimodal Integration
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Online RL agents make interventions with a goal. I believe this is enough, but I’d like to hear @eliasbareinboim expanding on this as I believe he’s put a lot of thought into it. I also think multimodality helps, based on the rubber hand illusion, e.g. @anilkseth
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Chatbots Lack Causal Reasoning and Agency: Solutions Needed
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Existing chatbots are not causal reasoners. They lack agency. They treat their actions (what they said) as observations and not as interventions. Question: how do we fix this? @yudapearl I think there’s a few solutions, but I’d love to hear you thoughts. @eliasbareinboim
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Agent Response Parsing Improvement for Final Answers
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Parsing of agent responses – h/t @krrish_dh Previously, the agent response expected the "final answer" to start on the same line as the "Final Answer" prefix. For longer answers, this sometimes didn't happen We now longer enforce that it be on the same line
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Version 0.0.64 Release: Enhanced Robustness for Large Context
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v0.0.64 a bunch of updates making it more robust to large context Updated API chain – @fpingham Updated SQL chain – @fpingham New multistep SQL chain
Parsing of agent responses – h/t @krrish_dh and Wikipedia source information – @rubensmau