What is fine-tuning and when should you use it?

How It Works:

Fine-tuning updates a pre-trained model?s weights on task-specific data, tailoring its capabilities to your domain while retaining broad knowledge.

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Key Benefits:

• Improved accuracy: Aligns model behavior with your use case.
• Domain expertise: Captures nuances in your data.
• Predictable results: Controlled adjustments vs. prompt-only methods.

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Real-World Use Cases:

• Legal document analysis: Fine-tune on contracts for clause detection.
• E-commerce: Adapt recommendation models to your product catalog.