LangChain: Improving agents is a data mining problem
LangChain mines agent traces to identify failures and fine-tune judge models cheaper than frontier LLMs. The approach uses evals to hill-climb performance and improve agent reliability.
1 source
Daily brief
Get tomorrow's AI brief in your inbox
More stories today
- Reduce RAG costs on Amazon Bedrock with query-aware compression
- AWS and Panasonic Avionics use agentic AI for aircraft IFEC diagnostics
- User's Claude memory system backfired; Claude said user was the bottleneck
- Claude users discuss when to choose Sonnet over Opus
- Building token-efficient multi-agent systems