Technical
Fine-Tuning
Definition
The process of further training a pre-trained model on a specific dataset to adapt it for a particular task or domain.In-Depth Explanation
Fine-tuning starts with a model that has learned general patterns and adjusts it for specialized applications. This approach requires less data and compute than training from scratch. It is commonly used to customize LLMs for specific industries, writing styles, or tasks.
Real-World Example
A company might fine-tune GPT-4 on their customer support data to create a specialized chatbot.
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