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Automated Fine-Tuning

docs/use-cases/automated_finetuning/overview.mdx

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Real-world use cases often deal with dynamic data that is updated regularly. MindsDB enables you to automate fine-tuning of AI models to keep them up-to-date and as accurate as possible. You can set up jobs that will trigger fine-tuning of AI models every time new data arrives.

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This section covers the following use cases:

- Fine-tuning of Large Language models
- Fine-tuning of AutoML models
</br> <Tip> Available tutorials: <CardGroup cols={4}> <Card title="Fine-tuning of OpenAI models" icon="link" href="/use-cases/automated_finetuning/openai"></Card> <Card title="Fine-tuning of classification models" icon="link" href="/use-cases/automated_finetuning/classification"></Card> <Card title="Fine-tuning of regression models" icon="link" href="/use-cases/automated_finetuning/regression"></Card> </CardGroup> </Tip>