Posts tagged with "Model Optimization"

See the magic happen in real time. Learn how to train and deploy custom reasoning models with Azure ML and Microsoft Foundry—from fine-tuning to reinforcement learning, performance optimization with speculative decoding, distillation, and production deployment delivering measurable ROI.

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.

Microsoft Ignite BRK114: Enterprise customer panel on production AI agents. Multi-tier architectures, event-driven orchestration, defense-in-depth security, human-in-the-loop patterns. Democratization with governance. Model selection optimization. Real deployments delivering $10M-$50M+ annual value. From experimentation to strategic differentiation.