xLAM vs mcp-server
xLAM: xLAM is a research repository for Large Action Models (LAMs), which aggregates and unifies agent trajectories from diverse environments into a consistent format. It streamlines the creation of a generic data loader optimized for agent training, enabling robust model development across various scenarios.; mcp-server: The Vapi MCP Server enables developers to build and deploy AI voice assistants and phone agents using Vapi's platform and the Model Context Protocol. It provides a robust framework for managing assistants, handling calls, and integrating custom tools, facilitating advanced conversational AI applications.
TL;DR
Function calling in LLMs
Schedule appointments via voice assistant
Side-by-Side Comparison
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