Max Bartolo

Researcher at Cohere, focusing on post-training, adversarial data collection, and model evaluation. His work explores model reasoning, robustness, and the limitations of human feedback.

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Mar 18, 2025 • 1h 23min

Reasoning, Robustness, and Human Feedback in AI - Max Bartolo (Cohere)

Max Bartolo, a researcher at Cohere, dives into the world of machine learning, focusing on model reasoning and robustness. He highlights the DynaBench platform's role in dynamic benchmarking and the complex challenges of evaluating AI performance. The conversation reveals the limitations of human feedback in training AI and the surprising reliance on distributed knowledge. Bartolo discusses the impact of adversarial examples on model reliability and emphasizes the need for tailored approaches to enhance AI systems, ensuring they align with human values.

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