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Ryan Greenblatt - Solving ARC with GPT4o

Machine Learning Street Talk (MLST)

NOTE

Efficient Use of Language Model Completions

By leveraging the OpenAI end completions feature and optimizing the processing of prompts with transformer architecture, significant cost savings can be achieved in generating completions. Utilizing APIs that allow multiple completions for a fixed prompt can make a solution up to 10 times less expensive, highlighting the importance of efficient use of language model capabilities.

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