Corbin Brown | Fine-tuning Gemini with Google AI Studio Tutorial - [Customize a model for your application] @webcafeai | Uploaded July 2024 | Updated October 2024, 16 hours ago.
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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Get started with the Gemini API
https://ai.google.dev/aistudio
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➤ Follow @webcafeai
• ✈️ 2nd Channel: youtube.com/@corbinwander
• ✖️ X: https://x.com/webcafeai
• 🔴 TikTok: tiktok.com/@webcafeai
• 🥾 Instagram: instagram.com/webcafeai
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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
🌲 Do You Create Content?
bit.ly/bumpups
⚡ AI Services
webcafesoftware.com
automate everything. 👇
https://linktr.ee/webcafe
My name is Corbin, an AI developer entrepreneur behind the vision of Webcafe AI. Together we will build digital ecosystems. ☕
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! 👉 bit.ly/3zlUmiS 👈
Get started with the Gemini API
https://ai.google.dev/aistudio
👨💻 Ask Me Anything about AI -- Access Exclusive Content ☕
skool.com/ai-for-your-business/about
Business Newsletter [FREE] 📰
aitraining.webcafeai.com/joinus
-------------------------------------------------
➤ Follow @webcafeai
• ✈️ 2nd Channel: youtube.com/@corbinwander
• ✖️ X: https://x.com/webcafeai
• 🔴 TikTok: tiktok.com/@webcafeai
• 🥾 Instagram: instagram.com/webcafeai
• 🎧 Bräunlich: soundcloud.com/braunlich
-------------------------------------------------
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
🌲 Do You Create Content?
bit.ly/bumpups
⚡ AI Services
webcafesoftware.com
automate everything. 👇
https://linktr.ee/webcafe
My name is Corbin, an AI developer entrepreneur behind the vision of Webcafe AI. Together we will build digital ecosystems. ☕
![Fine-tuning Gemini with Google AI Studio Tutorial - [Customize a model for your application]](https://i.ytimg.com/vi/VwpDvvNjN2I/hqdefault.jpg "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
👨💻 Ask Me Anything about AI Access Exclusive Content ☕
https://www.skool.com/ai-for-your-business/about
Business Newsletter [FREE] 📰
https://aitraining.webcafeai.com/joinus
➤ Follow @webcafeai
• ✈️ 2nd Channel: https://www.youtube.com/@corbinwander
• ✖️ X: https://x.com/webcafeai
• 🔴 TikTok: https://www.tiktok.com/@webcafeai
• 🥾 Instagram: https://www.instagram.com/webcafeai
• 🎧 Bräunlich: https://soundcloud.com/braunlich
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
🌲 Do You Create Content?
https://bit.ly/bumpups
⚡ AI Services
https://webcafesoftware.com/
automate everything. 👇
https://linktr.ee/webcafe
My name is Corbin, an AI developer entrepreneur behind the vision of Webcafe AI. Together we will build digital ecosystems. ☕")
