Presentation: AI Agents to Make Sense of Data at OpenAI
Quick Answer
OpenAI's Bonnie Xu presents Kepler, an AI data analyst agent that queries over 600 petabytes of data.
Quick Take
The team employs to address context window limits, automated code crawling, and for enhanced data analysis. They also utilize scoped semantic memory for self-learning and AST-based grading for a robust evaluation pipeline.
Key Points
- Kepler is designed to analyze over 600 petabytes of data efficiently.
- MCP helps overcome context window limitations in data querying.
- Automated code crawling and RAG are utilized for improved data analysis.
- Scoped semantic memory enables self-learning capabilities in the agent.
- AST-based LLM grading ensures a regression-free evaluation pipeline.
Source Excerpt
OpenAI’s Bonnie Xu explains Kepler, their internal AI data analyst agent built on . She shares how they scale data discovery across 600+ PB using automated context, , and AST-based evals.
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