Machine Learning Street Talk (MLST) cover image

New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman

Machine Learning Street Talk (MLST)

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Entropy, Creativity, and Prompt Design

Jeremy defends injecting entropy via broad NL prompts to encourage creative exploration despite higher output variability.

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