Yong Jae Lee | Next Steps in Generalist Multimodal Models
1:01:42
Yuxiong Wang | Bridging Generative & Discriminative Learning in the Open World
58:18
Hugo Laurençon | What Matters When Building Vision-Language Models?
56:26
Stanford Seminar - Robot Learning in the Era of Large Pretrained Models
24:38
Multimodal Embeddings: Introduction & Use Cases (with Python)
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MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention
51:12
Lukas Lange | SwitchPrompt: Learning Domain-Specific Gated Soft Prompts
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Yuandong Tian | Efficient Inference of LLMs with Long Context Support
59:55