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Fine-Tuning
Definition
Training an existing AI model further with specific data for a particular purpose.
In Plain English
Fine-tuning is like teaching a generalist to specialize—extra training for a specific domain.
Real-World Example
Fine-tuning an AI on your customer service conversations makes it better at handling your specific products.
Why It Matters for Your Work
Fine-tuning can dramatically improve AI performance for your specific use case.
Common Mistake
Fine-tuning too early. Often, better prompts achieve good results without fine-tuning costs.
Related Terms
View Machine Learning
Machine Learning
AI that improves through experience and data rather than explicit programming.
View RAG
RAG
Retrieval-Augmented Generation—giving AI access to external information to improve accuracy.