AI & ML Research 3 Hours

Last updated: March 26, 2026, 8:30 AM ET

AI/ML Workflow & Evaluation

Researchers are advancing practical AI systems by leveraging models like Codex and MCP to bridge disparate tools, integrating data sources such as Google Drive, GitHub, and Big Query into a singular, end-to-end data science workflow beyond simple code generation. Concurrently, insights into retrieval-augmented generation (RAG) stress that metrics like the Bits-over-Random score reveal discrepancies where retrieval appears strong on paper but causes agents to behave erratically with noise, demanding stricter evaluation standards for real-world application performance.