Optimizing LLMs with Mistral AI’s New Fine-Tuning APIs

Introduction

Fine-tuning enables large language models to better align with specific tasks, teach facts, and incorporate new information. Fine-tuning significantly improves performance compared to prompting, typically surpassing larger due to its speed and cost-effectiveness. offers superior task alignment because it undergoes specific for these tasks. Additionally, fine-tuning enables the model to be taught using

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