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Training
Fine-tuning
Specializing a general model with specific data.
Fine-tuning is the process of taking a pre-trained AI model (like GPT-4) and training it a bit more (tuning it) with a smaller, specific dataset from your domain. This adapts the model to speak with your brand's tone, understand your technical jargon, or follow strict formats.
Examples
- A medical model trained with health records to diagnose diseases.
- A legal model adjusted with specific firm contracts.
Use Cases
- Creating highly specialized corporate assistants.
- Improving accuracy in niche tasks.
- Personalizing AI communication style.
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