AI Tutorials
Understanding Model Context Protocol (MCP) for AI Agents
A comprehensive guide to the Model Context Protocol (MCP), explaining its architecture, benefits for developers, and how it standardizes tool integration for LLMs.
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Function Calling
Explore our entire collection of insights, tutorials, and industry news.
- AI Tutorials
Mastering OpenAI Function Calling for Seamless API Integration
A deep dive into OpenAI's function calling feature, comparing it with traditional prompt engineering and exploring its integration with modern LLM aggregators like n1n.ai.Read more → - AI Tutorials
How LLMs Use the Model Context Protocol (MCP)
A deep dive into the Model Context Protocol (MCP), explaining how Large Language Models discover and execute external tools through a standardized architecture.Read more → - Model Reviews
OpenAI''s Transition Toward Skills and Modular Tool Use
An in-depth review of OpenAI's quiet transition toward 'skills' and modular tool use, exploring how developers can leverage these capabilities via n1n.ai for high-performance applications.Read more → - AI Tutorials
MCP vs Function Calling: Architecture, Use Cases, and Implementation Strategies
Discover the architectural differences, use cases, and implementation strategies for MCP and Function Calling in the modern AI stack.Read more →