What is Fine-Tuning?
Training an AI model on specific data to specialize it for particular tasks.
Definition
Fine-tuning takes a pre-trained AI model and trains it further on domain-specific data. This creates a specialized model that performs better on specific tasks while retaining general capabilities.
Examples
Why It Matters
Fine-tuning creates specialized AI that outperforms generic models on specific tasks.
Related Terms
Common Questions
What does Fine-Tuning mean in simple terms?
Training an AI model on specific data to specialize it for particular tasks.
Why is Fine-Tuning important for AI users?
Fine-tuning creates specialized AI that outperforms generic models on specific tasks.
How does Fine-Tuning relate to AI chatbots like ChatGPT?
Fine-Tuning is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: Training GPT on medical data Understanding this helps you use AI tools more effectively.
Related Use Cases
AI Models Using This Concept
See Fine-Tuning in Action
Council lets you compare responses from multiple AI models side-by-side. Experience different approaches to the same prompt instantly.