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.… ...
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 ...
Forbes contributors publish independent expert analyses and insights. Docker recently announced new tools that apply container technology principles to artificial intelligence development, addressing ...
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 ...
Hosted on MSN
I connected a local model to Obsidian with MCP and it’s better than NotebookLM and ChatGPT combined
Using cloud-based AI tools can be frustrating. Since I primarily use Obsidian for note-taking, whenever I wanted to ask ChatGPT or NotebookLM about something, I had to copy my notes into a separate ...
Docker Brings Agentic Apps to Life with New Compose Support, Cloud Offload, and Partner Integrations
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, ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results