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ai deep-dive Reading Stanford CS224N

CS224N Lecture 17: An Official Reading Map for Multimodality

Lecture 17 is Luke Zettlemoyer's multimodality guest session, but the site publishes no slides or agenda. Its official readings establish three routes: visual reasoning workspaces, early-fusion token models, and text autoregression with image diffusion.

#cs224n#multimodal-ai#vision-language-model#foundation-model#stanford
learning guide Berkeley CS288 Spring 2026

Berkeley CS288 Part 5: Inference-time Compute, Reasoning, and Embodied Agents

Units 15–18 place NLP models inside perception, reasoning, tool, and environment loops; the question shifts from next-token prediction to allocating inference compute and validating multi-step action.

#berkeley#cs288#ai-agent#reasoning#multimodal-ai#llm