variables: 935638

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
935638 Annual number of large-scale AI models by organization AI systems   2024-06-19 14:36:00 2024-06-19 14:36:00     2017-2024 6572     
{
    "unit": "AI systems"
}
 0     yearly_count grapher/artificial_intelligence/2024-06-19/epoch_compute_intensive_organizations/epoch_compute_intensive_organizations#yearly_count   2 major           Refers to the primary organization affiliated with the authors of the large-scale AI models. The 2024 data is incomplete and was last updated 19 June 2024. Multiple-select multiple-choice of organization(s) who created the system. In the spreadsheet, this field is formatted as a string, with multiple organizations separated by commas. 
[]
 The count of large-scale AI models per organization is derived by tallying the instances of machine learning models associated with each organization. It's important to note that a single machine learning model can be associated with multiple organizations. The classification into organizations is determined by the specific entities that primarily contributed to the development of the AI system.     
{
    "note": "Confirmed large-scale AI models are those where the training compute exceeds 10\u00b2\u00b3 floating-point operations (FLOP)."
}
 int 
[]
 8c53f3a9d0b09366c7cf2f84c0982b1d 608a17bdd45d756e58d2fe8cf44daf51

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