In this Deep Dive episode, we unpack Meta's Llama 4 lineup—Scout, Maverick, and the Behemoth teacher. We break down the innovations: native multimodality, expansive context windows, mixture-of-experts architectures, and interleaved attention (IROP) for long sequences. We discuss what this means for developers—reasoning over large codebases, building personalized user experiences with image grounding, and comparing Scout and Maverick with other models. Plus, what 'infinite context' could unlock in the future.

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