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  1. Explore a collection of practical recipes and examples showcasing the power and versatility of Gemma for tasks like image captioning with PaliGemma, code generation with CodeGemma, and building chatbots with fine-tuned Gemma models.

  2. 16 paź 2024 · Overview. This tutorial shows you how to set up and extend two projects: a web service for Gemma and a VS Code extension to use to that service. The web service uses Python, Keras, JAX, and the FastAPI libraries to serve the Gemma model and handle requests.

  3. 21 lut 2024 · A new Responsible Generative AI Toolkit provides guidance and essential tools for creating safer AI applications with Gemma. We’re providing toolchains for inference and supervised fine-tuning (SFT) across all major frameworks: JAX, PyTorch, and TensorFlow through native Keras 3.0.

  4. 5 sie 2024 · Select a model, tune it for a specific task, and then deploy it in an application, or share it with the community. This guide helps you get started with picking a model, testing its capabilities, and optionally, tuning the model you selected for your application.

  5. 3 dni temu · Gemma is a set of lightweight, generative artificial intelligence (AI) open models. Gemma models are available to run in your applications and on your hardware, mobile devices, or hosted...

  6. 31 lip 2024 · Flexible and cost-effective deployment: Run Gemma 2 2B efficiently on a wide range of hardware—from edge devices and laptops to robust cloud deployments with Vertex AI and Google Kubernetes Engine (GKE).

  7. 21 lut 2024 · Gemma models can run on a laptop, workstation, or on Google Cloud. With these new open models, developers can now build with and customize in Vertex AI and run it on GKE. To maximize...

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