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Tagged “data”

4 posts.

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All Model Architecture19 Training & Alignment22 Inference & Serving18 Agents & Orchestration11 Reasoning & Evaluation26 Safety, Security & Governance7 Platforms & Practice20
Training & Alignment 3 min

How Much Data Is Enough? The Chinchilla Correction

For years the field raced to build bigger models. Then a 2022 study showed most of those giants were undertrained, and quietly redrew the map of how to spend a compute budget.

scaling-laws training compute data
Platforms & Practice 24 min

The Leak in Every Training Set: Feature Stores, Point-in-Time Joins, and the Train-Serve Contract

A fraud model can score perfect recall offline and block nothing in production, because its training join looked a few hours into the future. Feature stores exist to enforce one contract: a training row may only see what the serv…

feature-stores mlops feature-engineering data ∑ ◫
Training & Alignment 24 min

Vision-Language-Action Models: The Action Interface Is the Hard Part

A language model eats trillions of tokens scraped for free. The largest open robot dataset is 527 skills gathered by hand across 21 institutions. That asymmetry, not model capacity, is what makes robot learning hard, and it expla…

robotics-embodied vla imitation-learning flow-matching ∑ ◫
Reasoning & Evaluation 24 min

Your Test Set Is Wrong: Label Errors, Annotator Disagreement and the Ceiling on Measured Accuracy

Human reviewers confirmed 2,916 label errors in the ImageNet validation set, and an expert audit suggests the true figure is closer to one image in five. Every benchmark score is computed against an answer key written by people w…

human-data-and-annotation evaluation benchmarks measurement ∑ ◫
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