When AI Benchmarks Lie A Better Way to Evaluate (ft Chris Hay) - Ep 15
AI Summary
In this episode, the hosts dive into the often-overlooked importance of evaluation (evals) in AI and ML models. Joined by Chris Haye, a distinguished engineer, they discuss various eval frameworks to assess the efficacy of language models. Chris shares his unique journey into AI, emphasizing the necessity of not relying solely on benchmarks. Instead, it’s crucial to understand how well models perform based on real-world use cases. The conversation touches on building effective evaluation sets, the pitfalls of traditional metrics, and the advantages of collaborative models. The episode highlights practical approaches and encourages listeners to start integrating evals into their AI workflows to enhance the quality of model outputs and accelerate iterative improvements.