origins: 915
This data as json
id | titleSnapshot | title | descriptionSnapshot | description | producer | citationFull | attribution | attributionShort | versionProducer | urlMain | urlDownload | dateAccessed | datePublished | license |
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915 | Parameter, Compute and Data Trends in Machine Learning | We update this chart with the latest available data from our source every month. The authors selected the AI systems for inclusion based on the following necessary criteria: — Have an explicit learning component — Showcase experimental results — Advance the state of the art In addition, the systems had to meet at least one of the following notability criteria: — Paper has more than 1000 citations — Historical importance — Important state-of-the-art advance — Deployed in a notable context The authors note that: "For new models (from 2020 onward) it is harder to assess these criteria, so we fall back to a subjective selection. We refer to models meeting our selection criteria as 'milestone models." | Epoch | Epoch AI, ‘Parameter, Compute and Data Trends in Machine Learning’. Published online at epochai.org. Retrieved from: ‘https://epochai.org/data/epochdb/visualization’ [online resource] | https://epochai.org/mlinputs/visualization | https://epochai.org/data/epochdb/all_systems.csv | 2024-06-03 | 2024-06-03 | { "url": "https://creativecommons.org/licenses/by/4.0/", "name": "CC BY 4.0" } |
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