Fine-tuning
Category: AI Techniques
📖 Definition
Fine-tuning is the process of taking a pre-trained AI model and further training it on specific data to improve its performance for a particular task or style.
🔑 Key Points
- Uses much less data and compute than training from scratch
- Can specialize a general AI for medical, legal, or industry-specific use
- Allows customization of tone, format, and behavior
- LoRA and other techniques make fine-tuning more accessible
💡 Why It Matters
Fine-tuning lets anyone customize powerful AI models without building from scratch. It's how companies create specialized AI assistants.