Function-Calling
PulseAugur coverage of Function-Calling — every cluster mentioning Function-Calling across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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LLM function calling explained: How models use tools and avoid errors
This article explains function calling, a key capability for LLMs to interact with external tools and data. It details how models decide which tool to use and with what arguments, moving beyond simple text prediction to…
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Developer clarifies RAG, Function Calling, MCP, and Semantic Kernel
This article details a developer's journey in understanding and applying Retrieval-Augmented Generation (RAG), Function Calling, MCP, and Semantic Kernel within .NET AI applications. It aims to clarify when to utilize e…
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MCP Protocol Emerges as Distinct AI Communication Standard
The author initially believed that MCP (Model Communication Protocol) was simply another term for function calling in AI models. However, upon further investigation, they discovered that MCP is a distinct protocol desig…
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AI agents: MCP vs. Function Calling for external world interaction
The article explores how AI agents can interact with the external world, focusing on two primary methods: MCP (Multi-Agent Communication Protocol) and function calling. It highlights that tools are essential for agents …
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LLM Integration Guide: MCP, Tool Use, and Function Calling Explained
This article explores three distinct approaches for integrating large language models (LLMs) with external systems: MCP, tool use, and function calling. It aims to clarify the differences between these architectures and…
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LLM research tackles uncertainty in function calls and system propagation
Two new research papers explore the critical issue of uncertainty in Large Language Models (LLMs). The first paper investigates uncertainty quantification methods specifically for LLM function-calling, finding that simp…