Deploy. Observe. Learn. Reinforcement learning for production agents | BRK231
Microsoft Foundry adds reinforcement learning and a low-level training API to turn production agents into cheaper, faster models.
“Think of it as PyTorch as a service.”
At Microsoft Build (BRK231), the Foundry team detailed how to deploy, observe, and optimize production agents using distillation and reinforcement learning, and previewed a new low-level training API positioned as 'PyTorch as a service.' It matters because it pushes model customization toward continuous, production-data-driven improvement and a natural-language fine-tuning skill, lowering the barrier to building cheaper, smarter agents on Azure.