Explains Recursive Language Models (RLMs), which are LLMs that call themselves to break complex tasks into structured, reusable steps.
A tutorial on building a local AI agent with vision and function calling using Microsoft Agent Framework and Ollama in C#.
A comprehensive overview of over 50 modern AI agent benchmarks, categorized into function calling, reasoning, coding, and computer interaction tasks.
A guide to using Langchainjs for coordinating AI agent tool and function calls with chain-of-thought reasoning, including a practical code example.
A tutorial on implementing AI tool calling (function calling) using the Quarkus LangChain4j extension to integrate chat models with APIs and databases.
A tutorial on implementing function calling with Google's Gemma 3 27B LLM, showing how to connect it to external tools and APIs.
A practical guide to implementing function calling with Google's Gemini 2.0 Flash model, enabling LLMs to interact with external tools and APIs.
A guide to using API Manifest Plugins with Semantic Kernel to streamline OpenAI LLM function calling and integrate third-party APIs more efficiently.
A guide to creating custom tools (functions) for the Azure OpenAI Assistants API, including setup, definition, and execution.
Weekly tech roundup covering major Microsoft AI announcements: Bing Chat Enterprise, Microsoft 365 Copilot pricing, Azure AI updates, and new LLM architectures.
