Posts tagged with "Azure OpenAI"

The capability spectrum from stateless LLM to multi-agent orchestration is one of the most conflated concepts in the 2026 AI market. The distinctions matter. They change architecture, they change cost by an order of magnitude, and under the EU AI Act they change compliance posture.

A concrete playbook for reducing Azure OpenAI bills in 2026. Break-even math for Provisioned Throughput Units, prompt-cache economics, the Batch API 50 percent discount, Foundry IQ for retrieval, tiered model routing, and the telemetry that keeps the wins honest.

Generic LLM copilots are a liability in manufacturing. Technicians need answers that cite the exact procedure, not plausible-sounding text. Retrieval-augmented generation grounded in Azure AI Search solves this when architected correctly. This is the pattern that holds up under service-bay pressure.

Microsoft Ignite BRK203: Reasoning models as the brains behind autonomous agents. Multi-step problem solving, explainable decisions, agentic workflows (lead scoring, content generation, support). Foundry 11,000+ model catalog, customer stories from healthcare and legal sectors.

Microsoft Ignite BRK193: Build agents with Azure AI Search knowledge features. Connect to SharePoint, web, blob. Hybrid search (keyword+vector+semantic), agentic retrieval with query planning, reasoning effort modes, Foundry IQ with MCP protocol. Code-focused implementation guide.

Microsoft Ignite BRK188: Fine-tuning in Microsoft Foundry transforms generic models into production-ready agents. Synthetic data generation, supervised + reinforcement fine-tuning, 40-90% cost reduction, 95%+ accuracy. Real-world results: 2M docs/day, $27M savings.