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Fine-tuning Gemini with Google AI Studio Tutorial - [Customize a model for your application]
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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.
Get started with the Gemini API
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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
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automate everything. 👇
My name is Corbin, an AI developer entrepreneur behind the vision of Webcafe AI. Together we will build digital ecosystems. ☕
Get started with the Gemini API
👨💻 Ask Me Anything about AI -- Access Exclusive Content ☕
Business Newsletter [FREE] 📰
-------------------------------------------------
➤ Follow @webcafeai
-------------------------------------------------
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
🌲 Do You Create Content?
automate everything. 👇
My name is Corbin, an AI developer entrepreneur behind the vision of Webcafe AI. Together we will build digital ecosystems. ☕
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