About Google AI for Developers
Google AI for Developers — Google AI for Developers provides resources and tools for building with Google's AI models, including Gemma and Gemini. It offers quickstart guides, benchmarks, and deployment options on Google Cloud, along with community support to advance AI research and development.
Top use cases
- Building AI assistants for ML engineering tasks
- Fine-tuning and inference tasks with Gemma models
- Developing responsible and trustworthy AI solutions
- Customizing and deploying models on Google Cloud
- Generating text, images, and videos using Gemini API
Built for
Key features
- Access to Gemma and Gemini models
- Quickstart guides and documentation
- Benchmarks and performance metrics
- Integration with Google Cloud
- Community support and resources
- Responsible AI development tools
Pros & cons
Pros
- Access to state-of-the-art AI models
- Comprehensive documentation and guides
- Integration with Google Cloud ecosystem
- Focus on responsible AI development
- Community support and collaboration opportunities
Cons
- Some features may require a Google Cloud subscription
- Complexity in understanding pricing tiers
- Potential limitations on free tier usage
Pricing
Gemini 2.5 Flash Preview
Our first hybrid reasoning model which supports a 1M token context window and has thinking budgets.
Gemini 2.5 Pro Preview
Our state-of-the-art multipurpose model, which excels at coding and complex reasoning tasks.
Gemini 2.0 Flash
Our most balanced multimodal model with great performance across all tasks, with a 1 million token context window, and built for the era of Agents.
Gemini 2.0 Flash-Lite
Our smallest and most cost effective model, built for at scale usage.
Imagen 3
Our state-of-the-art image generation model, available to developers on the paid tier of the Gemini API.
Veo 2
Our state-of-the-art video generation model, available to developers on the paid tier of the Gemini API.
Gemma 3
Our lightweight, state-of the art, open model built from the same technology that powers our Gemini models.
Gemini 1.5 Flash
Our fastest multimodal model with great performance for diverse, repetitive tasks and a 1 million token context window.
Gemini 1.5 Flash-8B
Our smallest model for lower intelligence use cases, with a 1 million token context window.
Gemini 1.5 Pro
Our highest intelligence Gemini 1.5 series model, with a breakthrough 2 million token context window.
Text Embedding 004
Our state-of-the-art text embedding model.
Company information
- Google AI for Developers Discord Here is the Google AI for Developers Discord: https://discord.com/invite/google-dev-community . For more Discord message, please click here(/discord/google-dev-community) .
- Google AI for Developers Company Google AI for Developers Company name: Google .
- Google AI for Developers Login Google AI for Developers Login Link: https://ai.google.dev/_d/signin?continue=https%3A%2F%2Fai.google.dev%2Fgemma&prompt=select_account
- Google AI for Developers Pricing Google AI for Developers Pricing Link: https://ai.google.dev/pricing
- Google AI for Developers Github Google AI for Developers Github Link: https://github.com/google/generative-ai-docs/blob/main/site/en/gemma/docs/lora_tuning.ipynb?utm_source=agd&utm_medium=referral&utm_campaign=open-in-colab&utm_content=
Frequently asked questions
What is Gemma?
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.
Where can I find Gemma models?
Gemma models are available in various model hubs, including Kaggle Models and Hugging Face Models.
How can I customize Gemma models?
You can customize Gemma models with your own data using Vertex AI Model Garden or fine-tune them with Hugging Face Transformers and TRL.
What is the Gemini API?
The Gemini API allows developers to build with Google's Gemini models, enabling text, image, and video generation and understanding.
Is there a free tier for the Gemini API?
Yes, the Gemini API offers a free tier with lower rate limits for testing purposes.
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