AI/ML
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Prototyping an AI Tutor with Docker Model Runner
Get inspired to build an AI tutor with this proof of concept project designed to reduce context-switching and improve the dev experience with Model Runner.
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Docker Desktop 4.44: Smarter AI Modeling, Platform Stability, and Streamlined Kubernetes Workflows
In Docker Desktop 4.44, we’re delivering enhanced reliability, tighter AI modeling controls, and simplified tool integrations so you can build with confidence.
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The GPT-5 Launch Broke the AI Internet (And Not in a Good Way)
When GPT-5 launched, AI apps broke overnight. Learn why it happened, and how to build resilient AI systems that survive sudden model and API changes.
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Tooling ≠ Glue: Why changing AI workflows still feels like duct tape
Explore how the fragmented landscape of AI tooling contributes to shaky workflows and how to move toward composable, swappable AI infrastructure.
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Remocal and Minimum Viable Models: Why Right-Sized Models Beat API Overkill
Cut costs, reduce latency, and build faster with right-sized AI. Learn why Remocal and Minimum Viable Models are the future of practical AI development.
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Build a Recipe AI Agent with Koog and Docker
Explore how to create a small Koog agent specializing in ratatouille recipes using popular Docker AI tools.
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GenAI vs. Agentic AI: What Developers Need to Know
Learn the key differences between GenAI and Agentic AI and how Docker empowers developers to build agentic AI apps.
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Powering Local AI Together: Docker Model Runner on Hugging Face
Developers can use Docker Model Runner as the local inference engine for running models and filtering for Model Runner-supported models on Hugging Face!
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