Learn how to build your first autonomous AI agent from scratch using Python and Azure OpenAI. Discover the core execution loop, tool calling, and why enterprise developers choose Azure over native OpenAI.
Prompt Engineering
7 Articles
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Master Azure OpenAI cost optimization with these 7 proven architectural decisions, covering token budgeting, semantic caching, and smart model routing.
Learn how to eliminate AI agent hallucinations in production using Pydantic structured outputs and deterministic Python routing.
Retrieval-Augmented Generation (RAG) is the backbone of most enterprise AI applications today. By grounding large language models (LLMs) like GPT-4…
Production AI agents fail silently without durable memory. Discover 7 critical Cosmos DB design patterns to scale Azure AI workflows and control your costs.
When Prompt Engineering Wasn’t Enough The model was smart.The prompts were detailed.The outputs were… inconsistent.Sometimes it answered…
When working with LangChain, a powerful framework for developing applications with large language models, you might encounter…