Software engineering scope expands beyond executable code to semi-executable artifacts best diagnosed by the new six-ring Semi-Executable Stack model.
Machine learning operations (MLOps): Overview, definition, and architecture
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GRACE-DS supplies metrics and a guarded sandbox for end-to-end evaluation of LLM AutoML agents on organization-specific tabular tasks, with flexible iterative interaction outperforming baselines on hidden-test quality and protocol validity across more than 7000 episodes.
No single MLOps tool covers the full lifecycle, so practitioners combine tools for orchestration, data versioning, experiment tracking, and cloud platforms.
citing papers explorer
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The Semi-Executable Stack: Agentic Software Engineering and the Expanding Scope of SE
Software engineering scope expands beyond executable code to semi-executable artifacts best diagnosed by the new six-ring Semi-Executable Stack model.
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GRACE-DS: a Guarded Reward-guided Agent Correction Environment in Data Science
GRACE-DS supplies metrics and a guarded sandbox for end-to-end evaluation of LLM AutoML agents on organization-specific tabular tasks, with flexible iterative interaction outperforming baselines on hidden-test quality and protocol validity across more than 7000 episodes.
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A Systematic Review of MLOps Tools: Tool Adoption, Lifecycle Coverage, and Critical Insights
No single MLOps tool covers the full lifecycle, so practitioners combine tools for orchestration, data versioning, experiment tracking, and cloud platforms.