Explains how the Model Context Protocol (MCP) uses 'Resources' to securely serve structured data from systems like files and databases to LLMs.
Explains the Model Context Protocol (MCP), an open standard for connecting AI agents and LLMs to external data sources and tools, enabling interoperability.
Explores AI agent frameworks, their benefits, limitations, and introduces the Model Context Protocol (MCP) for more modular AI systems.
Explores AI agents, their core components, differences from LLMs, and real-world applications, positioning them as the future of autonomous AI systems.
An explanation of the Model Context Protocol (MCP), an open standard for connecting LLMs to data and tools, and why it's important for AI development.
A tutorial on building a ReAct AI agent from scratch using Google's Gemini 2.5 Pro/Flash and the LangGraph framework for complex reasoning and tool use.
Explains the difference between Pass@k and Pass^k metrics for evaluating AI agent reliability, highlighting why consistency matters in production.
Explains the LLMs.txt file, a new standard for providing context and metadata to Large Language Models to improve accuracy and reduce hallucinations.
A developer shares talks on building safe AI agents for high-stakes industries using Go and durable execution, and announces an upcoming meetup.
Argues that current AI models are already capable of achieving Functional AGI through better orchestration of existing systems, not new model breakthroughs.
A guide to getting started with the AutoGen framework for building and orchestrating multi-agent AI applications.
A guide to building multi-agent AI systems using Semantic Kernel and Azure AI Agent Service, focusing on orchestration frameworks.
A tutorial on creating your first AI agent using Azure AI Agent Service, focusing on setup with Managed Identity and a code walkthrough.
A guide on using Anthropic's Model Context Protocol (MCP) to connect AI agents with tools and data sources using various LLMs like OpenAI or Gemini.
A tutorial on building an intelligent agent using the Azure AI Agent SDK, covering setup, tools, and integration with Azure AI Foundry.
A guide on transitioning into AI careers, distinguishing between working 'on' AI models and 'in' AI infrastructure, products, and engineering processes.
Author announces moving their technical blog to a new platform focused on AI agent systems and Gradient Labs' work.
