Copilot Tuning Research and Applied Science

The mission of the Copilot Tuning Research and Applied Science teams is to ensure that AI can be easily adapted and tuned to enable critical, high-value applications, including entirely new productivity tools. We are creating algorithms, architectures, data, and eval pipelines to adapt LLMs, reasoning models, multimodal and other foundation models using customer-specific data and feedback. Our work focuses on enabling domain adaptation through accessible no-code and low-code interfaces, allowing subject-matter experts to construct specialized agents for new tasks—all while preserving strict tenant-level security and governance constraints.

Our research is inherently interdisciplinary, integrating advances in machine learning, systems engineering, and human-computer interaction to translate state-of-the-art AI techniques into deployable solutions. We work closely with customers, engineers, product managers to ensure that our research innovations progress from conceptual design to real-world validations into turn-key platform experiences at scale.

Learn more about Copilot Tuning: Introducing Microsoft 365 Copilot Tuning | Microsoft Community Hub (opens in new tab)