Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...

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 ...

Google has announced the public preview of the Developer Knowledge API and MCP server, enabling AI assistants to access current developer documentation programmatically.

What if the way AI agents interact with tools and resources could be as seamless as browsing the web? Imagine a world where developers no longer wrestle with custom-built adapters or fragmented ...

The Model Context Protocol seeks to bring a standards-based and open source approach to enterprise use of LLMs and agentic AI. The Model Context Protocol was released in late 2024, but over the past ...

What does it take to get OpenAI and Anthropic—two competitors in the AI assistant market—to get along? Despite a fundamental difference in direction that led Anthropic’s founders to quit OpenAI in ...