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Rebranding of Azure AI Studio (#32063)
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* Rebranding of Azure AI Studio

* Fix spelling error
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scottaddie authored Jan 9, 2025
1 parent 99c0e60 commit 4c56d55
Showing 1 changed file with 5 additions and 5 deletions.
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{
"value": "cjk_width",
"name": "CjkWidth",
"description": "Normalizes CJK width differences. Folds fullwidth ASCII variants into the equivalent basic Latin, and half-width Katakana variants into the equivalent Kana. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/cjk/CJKWidthFilter.html"
"description": "Normalizes CJK width differences. Folds full-width ASCII variants into the equivalent basic Latin, and half-width Katakana variants into the equivalent Kana. See http://lucene.apache.org/core/4_10_3/analyzers-common/org/apache/lucene/analysis/cjk/CJKWidthFilter.html"
},
{
"value": "classic",
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"description": "Specifies the properties of the AML vectorizer."
}
},
"description": "Specifies an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog for generating the vector embedding of a query string."
"description": "Specifies an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog for generating the vector embedding of a query string."
},
"AMLParameters": {
"type": "object",
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},
"modelName": {
"$ref": "#/definitions/AIStudioModelCatalogName",
"description": "The name of the embedding model from the Azure AI Studio Catalog that is deployed at the provided endpoint."
"description": "The name of the embedding model from the Azure AI Foundry Catalog that is deployed at the provided endpoint."
}
},
"required": [
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}
]
},
"description": "The name of the embedding model from the Azure AI Studio Catalog that will be called."
"description": "The name of the embedding model from the Azure AI Foundry Catalog that will be called."
},
"VectorSearchVectorizerKind": {
"type": "string",
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{
"value": "aml",
"name": "AML",
"description": "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Studio Model Catalog at query time."
"description": "Generate embeddings using an Azure Machine Learning endpoint deployed via the Azure AI Foundry Model Catalog at query time."
}
]
},
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