AI Agents: Why Tuning the 'Harness' Beats Model Weights!
In a revealing session, Harrison Chase, CEO and co-founder of LangChain, highlighted a paradigm shift in AI agent development: the 'agent harness' layer is where the most significant performance gains are being made, often surpassing the impact of model weights.
“You can't really improve what you if you don't know what happened and that's where observability comes in. And then when you do improve, these LLMs are great, but like they're they're not robust at all.”
- Harrison Chase, CEO & Co-founder of LangChain
Forget model weights! Discover why the 'agent harness' is the true frontier for AI agent performance. Learn how LangChain, LangSmith, and Google Gemini are revolutionizing the SDLC, enabling agents to self-improve and scale like never before.
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