LangChain Blog
Better Harness: A Recipe for Harness Hill-Climbing with Evals
•1 min read•
#langchain#agenticworkflows#llm
Level:Intermediate
For:ML Engineers, AI Researchers, LangChain Developers
✦TL;DR
The article discusses the concept of building better agents by creating improved harnesses, which requires a strong learning signal to guide the "hill-climbing" process. The authors propose using evaluations (evals) as this signal, providing a recipe for harness hill-climbing with evals to enhance agent development.
⚡ Key Takeaways
- Building better harnesses is crucial for developing more effective agents.
- A strong learning signal is necessary to autonomously improve harnesses through a "hill-climbing" process.
- Evaluations (evals) can be used as the learning signal to guide harness improvement.
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