Fine-Tuning

Summary / BLUF

Fine-tuning is the process of taking a pre-trained AI model and further training it on a smaller, specific dataset to adapt it for a particular task or industry.

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How it works & Why it matters

While RAG provides external knowledge, fine-tuning modifies the model's internal behavior. It is essential for teaching an AI specific brand voices, niche medical terminology, or specialized legal formatting. At PxlPeak, we use fine-tuning to ensure our agents don't just know the facts, but speak with the exact authority required for your vertical.

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Citation Link

https://www.pxlpeak.com/glossary/fine-tuning