Hey, in this issue: How the LLM watermarking works; Compression is prediction; Should researchers write papers for AI instead of people?; Putting sign language AI into users’ hands; What happens inside an LLM when it tries to calculate with nothing but matrices; An offline translator small enough for a Raspberry Pi; and more.
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[Nature] How the LLM watermarking works
[Explained] Compression is prediction
[IEEE] Should researchers write papers for AI instead of people?
TutorMoments: Do AI tutors know when to help and when to hold back?
[Explained] Arithmetic without numbers: What happens inside an LLM when it tries to calculate with nothing but matrices.
[Project] gemma-translator: An offline translator small enough for a Raspberry Pi
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