Fine-tuning Gemini with Google AI Studio Tutorial - [Customize a model for your application]

Learn how to fine-tune the Gemini model using Google AI Studio to enhance its performance for your specific tasks. This tutorial covers dataset preparation, fine-tuning processes, and advanced tuning settings to customize the model to your needs.
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https://ai.google.dev/aistudio

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Key Takeaways:

✩ Dataset Preparation: Ensure your training dataset is high quality, diverse, and representative of your expected production traffic.
✩ Tuning Process: Fine-tuning involves adjusting the model with example inputs and outputs to teach it desired behaviors or tasks.
✩ Advanced Settings: Optimize the tuning process with settings like epochs, batch size, and learning rate to improve model performance.


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Fine-tuning with the Gemini API
https://ai.google.dev/gemini-api/docs...

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