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.… ...

Building and publishing Model Context Protocol (MCP) servers is a crucial step in allowing language models to interact seamlessly with external tools and resources. These servers act as intermediaries ...

Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

What if the key to unlocking seamless AI integration wasn’t just about better tools, but about rethinking how they connect? In the fast-evolving world of artificial intelligence, bridging the gap ...

AI agents are projected to revolutionize the AI online experience, performing tasks and chores we’ve asked them to do in the background while we’re doing something more productive or enjoyable.