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Hacker News

Top stories from the Hacker News community• Updated 4 minutes ago

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The End of the Train-Test Split

folio.benguzovsky.com

29

gmays

17 days ago

mlops model-serving performance data-science model-evaluation machine-learning

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How to Run Profitable Pricing Experiments?

cleancommit.io

24

mrkaluzny

26 days ago

modeling model-evaluation data-science business experiments business-analytics ai

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A/B Tests over Evals

raindrop.ai

20

Nischalj10

about 1 month ago

mlops model-serving performance model-evaluation ai nlp

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Can We Know Whether a Profiler Is Accurate?

stefan-marr.de

56

todsacerdoti

2 months ago

performance software-testing ai mlops model-evaluation ai-ethics ai-research profiling debugging

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GDPVal: Measuring the performance of our models on real-world tasks

openai.com

17

BGyss

3 months ago

ai mlops model-serving model-evaluation performance

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Hyb Error: A Hybrid Metric Combining Absolute and Relative Errors

arxiv.org

13

ncruces

3 months ago

ai mlops performance model-evaluation

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Terence Tao: Quantitative AI progress needs accurate and transparent evaluation

mathstodon.xyz

190

bertman

5 months ago

mlops ai ai-ethics research model-evaluation performance

HN

Frequently Asked Questions (and Answers) About AI Evals – Hamel's Blog

hamel.dev

172

TheIronYuppie

6 months ago

ai ai-ethics mlops model-evaluation

InfoQ

Latest articles from InfoQ• Updated 16 minutes ago

InfoQ

Google Metrax Brings Predefined Model Evaluation Metrics to JAX

Recently open-sourced by Google, Metrax is a JAX library providing standardized, performant metrics implementations for classification, regression, NLP, vision, and audio models. By Sergio De Simone

infoq.com

Sergio De Simone

1 day ago

JAX mlops ai tensorflow python model-serving ml model-evaluation transformers

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