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User-Facing AI Concepts
The ability of AI models to adapt and perform tasks based on examples provided within the input prompt without updating their weights.
Detailed Explanation
In-Context Learning refers to an AI model's capability to understand and perform tasks by analyzing examples within the input prompt, without modifying its internal parameters. This allows the model to quickly adapt to new tasks or data, providing relevant outputs based on limited contextual information, enhancing flexibility and usability for diverse applications.
Use Cases
- •Quickly customize responses for new tasks by providing examples directly in prompts, improving AI adaptability without retraining.
Related Terms
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