Fine-tuning AI
Customising a pre-trained AI model with your own data for better results
Definition
Fine-tuning is the process of further training a pre-trained AI model on your own specific data, so it performs better on your particular use case.
Detailed explanation
Instead of building an AI from scratch, fine-tuning starts with a powerful base model (like GPT-4 or Mistral) and adapts it to your domain.
This is particularly useful when you need the AI to understand your industry jargon, follow specific formatting rules, or produce outputs aligned with your brand voice.
Real-world examples
Customer support
Fine-tuning a model on your past support tickets to generate consistent replies
Document classification
Training a model to categorise your specific document types
Why it matters
- Domain-specific AI performance
- Consistent brand-aligned outputs
- Reduced need for complex prompts
- Better accuracy on specialised tasks
Related terms
Service associé
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