This chapter discusses the transition from LLMs to LMMs in large data models and emphasizes the importance of incorporating multiple modalities for AI to operate effectively in the real world. It also mentions the review of Zimaboard, a popular home server setup.
Chip Huyen documents the shifting sand of large data models, Herman Õunapuu reviews the Zimaboard, Bryan Braun shares 4 of his most recent VSCode configuration discoveries & Swizec Teller wrote a great summary of the inaugural AI Engineer Summit.
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