Master Retrieval-Augmented Generation (RAG) with this expert-level guide. Learn about RAG types (Naive, Advanced, Modular, Agentic), chunking strategies, embedding models, vector databases, hybrid retrieval, and production best practices with high-quality architecture diagrams.
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OpenAI API Complete Guide: From Chat Completions to Assistants
A comprehensive guide to the OpenAI API covering GPT-4o, function calling, the Assistants API, vision capabilities, and production best practices with code examples.
Read more →Building Production AI Applications with .NET 8 and C# 12
When .NET 8 and C# 12 were released, I was skeptical. After 15 years building enterprise applications, I’d seen framework updates come and go. But this release changed everything for AI development. Let me show you how to build production AI applications with .NET 8 and C# 12—using actual C# code, not Python wrappers. Figure […]
Read more →Natural Language Processing for Data Analytics: Trends and Applications
After two decades of building data systems, I’ve watched Natural Language Processing evolve from a research curiosity into an indispensable tool for extracting value from the vast ocean of unstructured text that enterprises generate daily. The convergence of transformer architectures, cloud-scale computing, and mature NLP libraries has fundamentally changed how we approach data analytics, enabling […]
Read more →Fine-Tuning Large Language Models: A Complete Guide to LoRA and QLoRA
Master parameter-efficient fine-tuning with LoRA and QLoRA. Learn how to customize LLMs like Llama 3 and Mistral on consumer hardware with step-by-step implementation guides.
Read more →Introduction to Generative AI: A Comprehensive Guide
The first time I watched a generative model produce coherent text from a simple prompt, I knew we had crossed a threshold that would reshape how we build software. After two decades of working with various AI and ML systems, from rule-based expert systems to deep learning pipelines, I can say with confidence that generative […]
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