Automation can feel like a daunting buzzword, often associated with expensive tools, steep learning curves, and endless configurations. But what if you could simplify your workflows, harness the power ...

Hands On Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.… ...

With Docker MCP Catalog, the platform is launching a service for exchanging AI resources: simple download of servers and clients including authentication. The container management platform Docker is ...

Docker, Inc. has announced a significant advancement in its AI strategy with the launch of the Docker MCP Catalog and Docker MCP Toolkit, both built around the emerging Model Context Protocol (MCP).

The company Docker, Inc. has released version 4.40 of Docker Desktop. An important new feature is the Docker Model Runner, which allows developers to run Large Language Models (LLMs) locally directly ...

Discover how Docker is redefining AI development, making it faster and simpler to go from idea to fully functional agentic applications. Whether you’re experimenting locally or scaling in the cloud, ...

Running an LLM locally is a pain you probably don’t want to deal with unless you have a real use case. I tried self-hosting OpenAI’s Whisper model on my laptop, and while the tool itself worked well, ...