5/ MetaGPT – a framework involving LLM-based multi-agents that encodes human standardized operating procedures (SOPs) to extend complex problem-solving capabilities that mimic efficient human workflows.
AGENTS
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CSV-LangChain App Lets Users Query Datasets Naturally
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We've set an example app to ask questions of a toy CSV (the Titanic dataset, a classic data science dataset) Access the app here: https://
csv-langchain.streamlit.app How you can help: try to break it! Ask questions that you would want it to be able to answer, and then leave feedback -
Advanced Retrieval Tools: Smart Splitting, Self-Query, Agents
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Deep dive on retrieval Excited to have the opportunity to talk about the advanced retrieval tools we're building: – smart text splitting
– self-query
– retrieval agents Even more excited to be joined by @UnstructuredIO @trychroma
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Teaching Bots Internally: Comparing AI Systems
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Joris's stuff is always awesome
— Harrison Chase (@hwchase17) 4 août 2023
We've been playing around with teaching bots internally, curious to compare to this https://t.co/OY0upvNhToJoris's stuff is always awesome We've been playing around with teaching bots internally, curious to compare to this
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Betting on Effective Personality Simulation Development
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You can bet on this on Manifold: https://
manifold.markets/DanShipper/wil
l-effective-personality-simulati?r=RGFuU2hpcHBlcg
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Tuning LLM Personality: Agreeableness Control Coming Soon
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I’m way too agreeable. I want LLMs to model my personality, and allow me to tune my agreeableness like the volume on my phone. I think that’s coming soon:
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Zep AI Expands Beyond Memory Module Capabilities
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You may know them from their memory module, now they're branching out Always fun to work with the @zep_ai team!
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Agent Retriever Tool Architecture for Decision-Making
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The basic idea: Give an agent a tool that is itself a retriever. The agent can then call this tool and get back a list of documents This allows the agent to decide when it wants to do retrieval – could do it once, twice, or not at all
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New Memory Type for Agent Tool Invocation Results
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We've also added a new type of memory This type of memory allows for using the results of previous tool invocations in future agent interactions This means if you ask a follow up question, you don't have to do retrieval all over again
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Conversational Retrieval Agents Replace ConversationalRetrievalChain
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Conversational Retrieval Agents The most popular chain in @langchain is the ConversationalRetrievalChain, which allows you chat with your data Using an agent instead can allow for great flexibility, and its a narrow and well defined enough agent that its fairly reliable