Benchmarking AI Models
Arvind discusses the challenges of evaluating AI models, particularly as they transition from traditional machine learning to foundation models. He highlights the complexities of benchmarking, especially when models are designed to perform multiple tasks. The conversation emphasizes the need for rigorous evaluations that reflect real-world performance, rather than just success on simplified benchmarks.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI Agents: Substance or Snake Oil with Arvind Narayanan - 704
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