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 ...

The Model Context Protocol (MCP) has rapidly become a foundational standard for connecting large language models (LLMs) and other AI applications with the systems and data they need to be genuinely ...

Created an MCP server. Added it to VSCode. The server is recognized and the 3 tools defined appear and work. On occasion, the 1 defined resource may appear in one of the VSCode windows but more times ...

In his keynote presentation, Mike Smith, a Google staff software engineer, told the conference that the A2A protocol has evolved to make it easier to add custom extensions to the core specification.

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Your browser does not support the audio element. Heavy-traffic dApps that query Ethereum's blockchain numerous times within a brief span are going to see latency and ...

Your browser does not support the audio element. An Ethereum blockchain API is simply a set of endpoints that enable your application to communicate with Ethereum ...

Discover how VeChain’s EVM and JSON-RPC upgrade empowers Web3 developers with seamless Ethereum compatibility and low fees for instant dApp deployment. Summary is AI generated, newsroom reviewed.

Before MCP, LLMs relied on ad-hoc, model-specific integrations to access external tools. Approaches like ReAct interleave chain-of-thought reasoning with explicit function calls, while Toolformer ...

Chances are, unless you're already deep into AI programming, you've never heard of Model Context Protocol (MCP). But, trust me, you will. MCP is rapidly emerging as a foundational standard for the ...