Engineering Definition
Updated: Feb 26, 2026
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.
Verified By Expert
John V. Akgul
Technically Accurate
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.
#Training#Optimization#Custom AI
Master Fine-Tuning for your business
Ready to deploy this technology? Our strategy team specializes in integrating Fine-Tuning into production-grade systems for revenue growth.
Citation Link
https://pxlpeak.com/glossary/fine-tuning