charts: 7693
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7693 | parameters-vs-training-dataset-size-in-notable-ai-systems-by-researcher-affiliation | ScatterPlot | { "id": 7693, "map": { "columnSlug": "736819" }, "slug": "parameters-vs-training-dataset-size-in-notable-ai-systems-by-researcher-affiliation", "type": "ScatterPlot", "title": "Parameters vs. training dataset size in notable AI systems, by researcher affiliation", "xAxis": { "scaleType": "log", "canChangeScaleType": true }, "yAxis": { "max": 100000000000, "min": 0, "scaleType": "log", "canChangeScaleType": true }, "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "version": 29, "subtitle": "Parameters are variables in an AI system whose values are adjusted during training to establish how input data gets transformed into the desired output. Training dataset size refers to the volume of text that is employed to train a model effectively.", "originUrl": "https://ourworldindata.org/artificial-intelligence", "colorScale": { "customCategoryColors": { "No data": "#58ac8c", "Academia": "#1171b0", "Industry": "#ca011f", "Government": "#18470f", "Collaboration": "#7f7480", "Research collective": "#bc8e5a", "Collaboration, majority academia": "#8f94e3", "Collaboration, majority industry": "#e66ca1" }, "customNumericColorsActive": true }, "dimensions": [ { "property": "y", "variableId": 953911 }, { "property": "x", "variableId": 953910 }, { "property": "color", "variableId": 953912 } ], "entityType": "system", "isPublished": true, "entityTypePlural": "systems", "hideAnnotationFieldsInTitle": { "time": true } } |
2024-03-14 13:56:31 | 2024-07-17 16:46:50 | 2024-07-17 16:46:50 | 2024-03-14 17:34:12 | 74 | 72 | 1 | Parameters vs. training dataset size in notable AI systems, by researcher affiliation | Parameters are variables in an AI system whose values are adjusted during training to establish how input data gets transformed into the desired output. Training dataset size refers to the volume of text that is employed to train a model effectively. | Parameters vs. training dataset size in notable AI systems, by researcher affiliation () | { "$schema": "https://files.ourworldindata.org/schemas/grapher-schema.004.json", "map": { "projection": "World", "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "timeTolerance": 0, "toleranceStrategy": "closest", "tooltipUseCustomLabels": false, "time": "latest" }, "maxTime": "latest", "baseColorScheme": "default", "yAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "tab": "chart", "matchingEntitiesOnly": false, "hasChartTab": true, "hideLegend": false, "hideLogo": false, "hideTimeline": false, "colorScale": { "baseColorScheme": "default", "equalSizeBins": true, "binningStrategy": "ckmeans", "customNumericColorsActive": false, "colorSchemeInvert": false, "binningStrategyBinCount": 5 }, "scatterPointLabelStrategy": "year", "selectedFacetStrategy": "none", "isPublished": true, "invertColorScheme": false, "version": 29, "logo": "owid", "entityType": "system", "facettingLabelByYVariables": "metric", "addCountryMode": "add-country", "compareEndPointsOnly": false, "type": "ScatterPlot", "hasMapTab": false, "stackMode": "absolute", "minTime": "earliest", "hideAnnotationFieldsInTitle": { "entity": false, "time": false, "changeInPrefix": false }, "xAxis": { "removePointsOutsideDomain": false, "scaleType": "linear", "canChangeScaleType": false, "facetDomain": "shared" }, "hideConnectedScatterLines": false, "showNoDataArea": true, "zoomToSelection": false, "showYearLabels": false, "hideLinesOutsideTolerance": false, "hideTotalValueLabel": false, "hideScatterLabels": false, "sortBy": "total", "sortOrder": "desc", "hideFacetControl": true, "entityTypePlural": "systems", "missingDataStrategy": "auto", "id": 7693, "slug": "parameters-vs-training-dataset-size-in-notable-ai-systems-by-researcher-affiliation", "title": "Parameters vs. training dataset size in notable AI systems, by researcher affiliation", "subtitle": "Parameters are variables in an AI system whose values are adjusted during training to establish how input data gets transformed into the desired output. Training dataset size refers to the volume of text that is employed to train a model effectively.", "originUrl": "https://ourworldindata.org/artificial-intelligence", "dimensions": [ { "property": "y", "variableId": 953911 }, { "property": "x", "variableId": 953910 }, { "property": "color", "variableId": 953912 } ] } |