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Explore the development of intelligent agents using gemma models, with core components that facilitate agent creation, including capabilities for function calling, planning, and reasoning Gemma is a family of generative artificial intelligence (ai) models and you can use them in a wide variety of generation tasks, including question answering, summarization, and reasoning. Gemma 3 is designed to work seamlessly with popular ml frameworks including pytorch, tensorflow, and jax We provide optimized implementations and integration guides for each framework. Whether you're a developer testing ideas or a business deploying solutions, we make advanced ai accessible without the need for massive computing resources. Gemma is a collection of lightweight open source generative ai (genai) models Gemma was created by the google deepmind research lab that also developed closed source gemini, google's generative ai chatbots. Explore google's gemma ai models — from lightweight 2b llms to multimodal 27b powerhouses Learn about gemma's architecture, use cases, performance, and how to run inference using vllm. Google sees the new gemma being used for tasks like text classification and data analysis, which it can accomplish quickly and without heavy computing requirements.