charts: 7692

This table contains the information used by our Grapher datavisualisation tool to render charts.

The most relevant field is the config field that contains json stored as text. A JSON Schema is available that describes the content of this json data. The SQLite JSON_EXTRACT function can be used in SQL queries to extract the content of this JSON data into columns in a result table.

Data license: CC-BY

This data as json

id slug type config createdAt updatedAt lastEditedAt publishedAt lastEditedByUserId publishedByUserId isIndexable title subtitle note title_plus_variant configWithDefaults
7692 training-computation-vs-dataset-size-in-notable-ai-systems-by-researcher-affiliation ScatterPlot 
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    "subtitle": "Computation is measured in total petaFLOP, which is 10\u00b9\u2075 [floating-point operations](#dod:flop) estimated from AI literature, albeit with some uncertainty. Training dataset size refers to the volume of text that is employed to train a model effectively.",
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 2024-03-14 13:53:33 2024-07-17 16:46:50 2024-07-17 16:46:50 2024-03-14 17:33:54 74 72 1 Training computation vs. dataset size in notable AI systems, by researcher affiliation Computation is measured in total petaFLOP, which is 10¹⁵ [floating-point operations](#dod:flop) estimated from AI literature, albeit with some uncertainty. Training dataset size refers to the volume of text that is employed to train a model effectively.   Training computation vs. dataset size in notable AI systems, by researcher affiliation () 
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