Tag
Llm
6 posts filed under Llm.
Cost Control for LLM Apps: Caching, Batching, Model Tiers
Cut your Azure OpenAI bill with model-tier routing, the four caches, output discipline, and batching. The levers that move the bill, in order of impact.
MCP: What It Is and Why It Changes How You Build AI Tools
MCP solves the N×M integration problem between AI models and tools. What it is, how it works, and why it matters before your next AI feature.
What Is an AI Agent? (And When Should You Build One)
What AI agents actually are, how they differ from a plain LLM call, the patterns in production, and when an agent is the right call — and when it isn't.
Building a Comprehensive RAG System: A Deep Dive Into Knowledge Architecture
A guide to building a Retrieval-Augmented Generation (RAG) system — vector databases, document processing, and LLMs for knowledge retrieval.
Simplifying Database Queries with AI & SQL Automation
A REST API that converts natural language into SQL queries using OpenAI, letting non-technical users query a database without SQL knowledge.
Building an AI-Driven Chat Application with .NET, Azure OpenAI, and Angular
Create a modern AI chat application using .NET, Azure OpenAI, and Angular with real-time communication and document analysis capabilities.
