Models & PromptingLetter F1 min read
In plain English
Training a base model further on domain-specific data for specialized behavior.
Full definition
Fine-tuning adapts tone, vocabulary, and task performance to an industry or brand. It is most valuable when you have high-quality labeled examples and stable requirements.
Many teams start with prompting and RAG first, then fine-tune when ROI is clear and data is ready.
Continue learning
Fine-Tuning vs RAG: A Practical Decision Framework
A deeper dive on this topic is coming soon to the AshnaAI blog. In the meantime, explore related guides and product updates.
Browse articlesRelated terms
Ready to put these concepts to work?
AshnaAI helps you build AI agents without code—search, automate, and deploy with the terms you just learned.
Continue exploring
Back to full glossary