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

Advanced ML Workflow & Evaluation

Recent research suggests moving AI integration beyond mere code generation, proposing frameworks like Codex and MCP to orchestrate entire data science pipelines connecting cloud storage like Google Drive with analytical environments such as Big Query and version control on GitHub. Furthermore, evaluating retrieval augmented generation (RAG) systems requires scrutiny beyond superficial metrics, as research indicates that retrieval success rates measured by Bits-over-Random can misleadingly suggest high quality when, in application, the retrieved context still results in noisy agent behavior.