Context engineering is the discipline of designing what goes into your LLM context window, in what order, and how to structure it for maximum cache efficiency, retrieval quality, and cost control. This part covers static-first architecture, cache-aware RAG design, prompt versioning, and token budget management.
Tag: prompt engineering
Advanced Prompt Engineering Patterns for Claude in Azure AI Foundry
Prompt engineering has evolved from simple question-and-answer interactions to sophisticated patterns that unlock Claude’s full potential in Azure AI Foundry. As enterprises deploy Claude at
Real-Time Sentiment Analysis with Azure Event Grid and OpenAI – Part 2: Azure OpenAI Integration and AI Processing
Welcome back to our real-time sentiment analysis series! In Part 1, we established the event-driven architecture foundation. Now, let’s dive deep into the AI processing
