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Adaptation
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TL;DR. A synonym for tuning or fine-tuning a pre-trained AI model on new data.
Technical Definition
A synonym for tuning or fine-tuning a pre-trained AI model on new data.
How it works
In the context of AI and machine learning, adaptation often refers to the process of modifying a pre-existing, trained model to perform better on a new, specific task or dataset. This is commonly achieved through techniques like fine-tuning, where the model's weights are further adjusted using new data. It allows models to leverage their general knowledge while specializing in particular domains.
Related Concepts
- Fine-Tuning — Adapting a pre-trained model to a specific task by continuing training on a smaller, task-specific dataset.
- Transfer Learning — Leveraging knowledge from a model trained on one task to improve performance on a different but related task.
- Pre-trained Model — An AI model that has already been trained on a very large dataset for a general task.