Machine Learning Street Talk (MLST) cover image

Ryan Greenblatt - Solving ARC with GPT4o

Machine Learning Street Talk (MLST)

CHAPTER

Navigating Program Selection through Majority Voting and Ambiguity

This chapter explores the intricacies of selecting programs based on their outputs for given inputs, employing majority voting to assess reliability. The discussion highlights the challenges of ambiguity in problem definition and solution approaches, aiming to find the right balance between complexity and generalizability.

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