LLM Function-Calling vs. Model Context Protocol (MCP)
gentoro.com · 984 words · saved by 1 readers
Explore how function-calling and MCP revolutionize enterprise workflows by simplifying LLM usage and showcasing their unique roles in development.
LLM Function-Calling vs. Model Context Protocol (MCP) Skip to main content Skip to footer LLM Function-Calling vs. Model Context Protocol (MCP) Dec 10, 2024 Written by: Patrick Chan Table of Contents Integrating Large Language Models (LLMs) with enterprise systems is transforming how businesses interact with their tools and workflows. By enabling natural language (NL) inputs to control complex operations, LLMs simplify access to enterprise capabilities, making them more intuitive and efficient. However, this integration requires a well-structured approach to handle both the translation of prom
saved by
related reading
- Introducing Model Context Protocol (MCP) | Glamaglama.ai
- LLM Powered Autonomous Agents | Lil'Loglilianweng.github.io
- What is the Model Context Protocol (MCP)? - Model Context Protocolmodelcontextprotocol.io
- Thoughts on the MCPondr.sh
- Parsed | Custom, interpretable AI systems that continuously learnparsed.com
- What We’ve Learned From A Year of Building with LLMs – Applied LLMsapplied-llms.org
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4.github.com
- What is the Model Context Protocol (MCP)? - Model Context Protocolmodelcontextprotocol.io
- Code Mode: the better way to use MCP | The Cloudflare Blogblog.cloudflare.com
- 2025: The year in LLMssimonwillison.net
- 【客座文】MCP 是怎樣讓世界又更好一點點anduril.tw
- Code execution with MCP: building more efficient AI agents \ Anthropicanthropic.com