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. SUBSCRIBE for more! 👉 http://bit.ly/3zlUmiS 👈

Get started with the Gemini API 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.

▼ Extra Links of Interest:

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

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