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GitHub Copilot and techniques for improving code suggestions from large language models
An examination of how to improve the performance of a given LLM on a specific task without modifying the underlying model — a more accessible area of research than training from scratch. Focuses on techniques used to enhance GitHub Copilot's suggestions and introduces an offline evaluation framework for early-stage experimentation.
