Use structured prompt templates to get reliable, formatted responses from LLMs.
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Tips and Tricks – Use Embeddings for Semantic Search
Implement semantic search using text embeddings for more relevant results than keyword matching.
Read more โThe Complete Evolution of OpenAI’s GPT Models: From GPT-1 to GPT-5.2
A comprehensive journey through OpenAI’s GPT model evolution from 2018 to 2025. From the 117M parameter GPT-1 to today’s trillion-parameter GPT-5.2, explore the revolutionary advances in context windows, pricing, capabilities, and market adoption that have transformed AI.
Read more โMastering LangChain: The Complete Getting Started Guide to Building Production LLM Applications
Introduction: LangChain has emerged as the de facto standard framework for building applications powered by large language models. Originally released in October 2022, it has grown from a simple prompt chaining library into a comprehensive ecosystem that includes LangChain Core, LangChain Community, LangGraph, and LangSmith. With over 90,000 GitHub stars and adoption by thousands of […]
Read more โMigration Guide: From Semantic Kernel & AutoGen to Microsoft Agent Framework – Part 10
Complete migration guide from Semantic Kernel and AutoGen to Microsoft Agent Framework. Before/after code examples and step-by-step instructions.
Read more โMCP Integration & External Tool Connectivity in Microsoft Agent Framework – Part 9
Connect AI agents to external tools via Model Context Protocol. Learn MCP servers, Microsoft 365 integration, and building custom MCP servers.
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