Exploring Model Evaluation Beyond Leaderboards in Machine Learning

Paco Nathan is the founder of Derwen, a boutique consultancy focused on Data and AI. This episode is part of our series of monthly roundups and covers: Llama 3 and other recent LLMs, the rise of open foundation models, the evolution of AI agents, and the importance of data engineering. We also explore the limitations of leaderboards in evaluating AI models and touch upon the ethical and societal implications of AI development.

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Detailed show notes can be found on The Data Exchange web site.