
Jeff Dean, Chief AI Scientist at Google, joins the Latent Space Podcast to discuss the balance between frontier AI model capabilities and the practical need for efficient, deployable models. Dean emphasizes that both high-end and affordable models are crucial, with distillation techniques bridging the gap. The conversation explores the evolution and future of long context models, with Dean envisioning systems that can attend to trillions of tokens by strategically filtering relevant information. He also touches on the importance of multimodality, including non-human modalities like LiDAR and genomics, and the potential of low-precision, scaled-up weights for energy-efficient hardware. Dean predicts personalized models with access to vast amounts of user data and specialized hardware will drive significant advancements in AI capabilities and efficiency.
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