Neural networks are the foundation of modern artificial intelligence and deep learning systems. This tag covers detailed guides, tutorials, and explanations on how neural networks work, how to code them from scratch, and how they are applied in real-world problems such as image recognition, natural language processing, and predictive analytics. Ideal for beginners and advanced learners exploring AI model design, training, and optimization
Complete Step-by-Step Guide to Integrating LLMs into .NET Core Applications
Overview: This practical guide walks .NET Core developers from zero to production-ready LLM integration. It covers architecture, coding patterns, OpenAI/Azure/Anthropic/Ollama examples, streaming, retrieval-augmented generation (RAG), security, testing, deployment, observability, cost control, prompt engineering, FAQs and common interview questions. Prerequisites Architecture Patterns Project Setup (.NET 6/7/8) Core LLM Service Interface OpenAI [...]


