Then we could go about improving it! Our final solution was a custom agent with two tools: – Python REPL (for doing analysis)
– Retriever (for dealing with text data present) We're excited to see other's solutions for this as well!
AGENTS
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Custom Agent with Python REPL and Retriever Tools
By
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LangChain Benchmarking Question Answering CSV Data
By
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Blog: https://
blog.langchain.dev/benchmarking-q
uestion-answering-over-csv-data/
… YouTube: https://
youtube.com/watch?v=jGnf4O
hptbA
… Code & data used: https://
github.com/langchain-ai/l
angchain-benchmarks
… Now for a quick thread: -
Improving AI Agents for CSV Question-Answering Applications
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This started ~2 weeks ago, when I tweeted that we wanted to improve our chains/agents for doing question/answering over CSV data Why? Most QA applications focus on text data, but lots of real world data is in CSVs
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Benchmarking Question Answering Over CSV Data
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Benchmarking Question/Answering Over CSV Data Deep dive on improving an application that does question answering over CSV data: 3000 word blog post
30min video
Open sourced eval data
Open sourced code for gathering feedback
Open sourced final agent code -
Agents with Multiple Retrievers for Conversational QA
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this is pretty easily doable – you can give an agent access to multiple retrievers! https://
python.langchain.com/docs/use_cases
/question_answering/how_to/conversational_retrieval_agents
… -
Llama 2 Demonstrates Surprising Tool Use Emergence
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Tell Llama 2 about the tools it can use. It has surprising “tool use emergence.”
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GPT Researcher Integrates Multiple LLM Providers and LangSmith
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Excited to collaborate with @assaf_elovic to bring multiple LLM providers + an integration with LangSmith to GPT Researcher – the best research agent I know of! I'd highly encourage folks to try it out – it's very impressive
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Generative Agents Simulation Logs and Complex Prompts Visibility
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Really cool to be able to see the logs & complex prompts that went into the Generative Agents simulation! https://
smith.langchain.com/public/a4b09aa
f-99ec-4ad0-a58c-2c07741f611b/r
… -
LLMs More Intelligent Than Self-Driving Cars Despite Different Embodiment
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SDCs are much more like embodied autonomous agents, but I would say that LLMs are actually more intelligent.
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Sophia’s Mimicry Cannot Replace True Intelligence
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For instance, Sophia mimics human behavior in order to fake being intelligent. But if you try to get Sophia to pick up a brand new skill or solve a brand new problem in the absence of its human programmers, it will be useless. It is not intelligent.