Summary

Research on algorithms and tools for creating AI assistants: dataset building with human feedback, faster training algorithms, better testing methods for performance measurement, and mathematical understanding of behavior. Use cases include chat assistants, code completion, autonomous code auditing, code navigation, and large code base understanding.