Project Emergence
This project envisions a future in which creators and players jointly create games that leverage the stunning generative power of new AI models in conjunction with Microsoft’s enormous gaming player base. Our goal is to…
Improving LLM understanding of structured data and exploring advanced prompting methods
Structural Understanding Capabilities is a new benchmark for evaluating and improving LLM comprehension of structured table data. This advance can help LLMs process and analyze data more effectively, broadening their applicability in real-world tasks.
Orca-Math: Demonstrating the potential of SLMs with model specialization
Microsoft’s Orca-Math, a specialized small language model, outperforms much larger models in solving math problems that require multi-step reasoning and shows the potential of using feedback to improve language models. Learn more.
Research Focus: Week of February 19, 2024
In this issue: CaaSPER: vertical autoscaling algorithm dynamically maintains optimal CPU utilization; Improved scene landmark detection for camera localization runs faster, uses less storage; ESUS simplifies usability questionnaires for technical products and services.