Dexa/Machine Learning Street Talk (MLST)

AI Divergence

Minqi discusses the importance of AI divergence for advancing towards more general agents. Marc explores the resurgence of open-endedness in machine learning, driven by the need for novel approaches beyond scaling data and compute.

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Machine Learning Street Talk (MLST)
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
Related Questions
- Is reinforcement learning a turning point for large language models (LLMs) and artificial intelligence (AI) as discussed in the episodes The Future of Machine Learning, Deep Learning and Computer Vision with Thomas Dietterich and Automating Scientific Discovery, and in the episode Exploring Open-Ended Algorithms: POET and the clip Evolving Learning Frameworks?