How to train coding LLMs with small auto-generated datasets


Microsoft’s research paper introduces WaveCoder, a model that efficiently trains coding language models using fewer examples. Complementing WaveCoder, Microsoft has developed CodeOcean, a curated dataset of 20,000 diverse code examples to enhance the fine-tuning of foundational models for coding applications. The research aims to balance cost-effectiveness with quality in dataset creation, and explores the potential of smaller, diverse datasets in achieving high performance.
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