AI/ML
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Docker Desktop 4.40: Model Runner to run LLMs locally, more powerful Docker AI Agent, and expanded AI Tools Catalog
In Docker Desktop 4.40, we’re introducing new tools that simplify GenAI app development and support secure, scalable development.
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Leveraging Docker with TensorFlow Models & TensorFlow.js for a Snake AI Game
Learn how TensorFlow.js can be used with Docker to run AI/ML in a web browser, using a real-world example of a Snake AI game.
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Desktop 4.39: Smarter AI Agent, Docker Desktop CLI in GA, and Effortless Multi-Platform Builds
Docker Desktop 4.39 brings enhanced productivity with Docker AI Agent with MCP, Kubernetes support, GA of Docker Desktop CLI, and improved image handling.
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Docker Desktop 4.38: New AI Agent, Multi-Node Kubernetes, and Bake in GA
Docker Desktop 4.38 brings Docker AI Agent for real-time help, plus Bake for faster builds and Multi-Node Kubernetes for better testing. Learn more!
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Simplify AI Development with the Model Context Protocol and Docker
Get started using the Model Context Protocol to experiment with AI capabilities using Docker Desktop.
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Meet Gordon: An AI Agent for Docker
We share our experiments creating a Docker AI Agent, named Gordon, which can help new users learn about our tools and products and help power users get things done faster.
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Unlocking Efficiency with Docker for AI and Cloud-Native Development
Learn how Docker helps you deliver secure, efficient applications by providing consistent environments and building on best practices that let you discover and resolve issues earlier in the software development life cycle (SDLC).
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The Model Context Protocol: Simplifying Building AI apps with Anthropic Claude Desktop and Docker
Discover how the Model Context Protocol (MCP) simplifies building AI applications by seamlessly integrating Anthropic Claude with Docker Desktop, enhancing developer productivity and workflow efficiency.
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