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AI potential
Explore advanced features with paid Gemini plans
Hello sujit,
Ready to take your projects to the next level? Upgrade to a paid plan and unlock advanced features and higher limits.
Why upgrade?
Higher rate limits
Handle more requests per minute and per day, perfect for production-ready applications.
Context caching
Speed up response times and reduce costs by storing previous responses. This also reduces latency and improves performance.
Protected data usage
Keep your sensitive data secure and compliant.
And more
Access additional features like priority support and early access to new capabilities.
View pricing
How to set up billing:
1. Open Google AI Studio.
2. Navigate to Settings in the bottom of the left sidebar.
3. Under Account Settings, click Plan information. This lists the Google Cloud projects associated with your account.
4. Click Set up Billing for your chosen project to enable Cloud Billing.
Need enterprise-level features? Vertex AI is an enterprise-ready comprehensive platform for the entire ML lifecycle, from data preparation and model training to deployment and monitoring. Learn more about Vertex AI for enterprise.
For more details, see Billing FAQs or visit Cloud Billing support to get help.
Explore more resources:
Prompting: Resources and tips for success
Intro to prompting
To get the most out of prompting, be sure to give clear instructions, define the task, and specify your constraints and response format.
Check out these resources to find out more:
Get started: Intro to prompting
For best practices: Prompt strategies
For inspiration: Prompt Gallery
Join the community: Google AI discussion forum
Integrate advanced capabilities with an API key
Learn how to keep your API key secure
Now you’ve created your API key, here's how you can get the most out of AI studio:
Learn how to keep your API key secure
Dive into the Gemini API Code Cookbook
Join the community:
1. Visit the Google AI discussion forum.
2. Visit the Gemini API Cookbook on GitHub to explore even more and connect with others in the developer community.
Boost your AI game with tuning
Fine-tuning tutorial
Model tuning allows you to tailor Gemini to work with your unique dataset, and customize output to match your exact specifications.
Find out how with these resources:
Model Tuning Guide: Learn the details of model tuning.
Responsible AI Best Practices: Ensure your AI models are fair, unbiased, and safe.
Get started based on your library:
1. Tuning quickstart with Python
2. Tuning quickstart with cURL
Troubleshooting tips: Get help if your prompts aren't producing the desired behavior.
Thanks,
Your Google AI Studio team
Create prompt
Get API Key
Read the docs
Join the conversation on the #gemini-api channel
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