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articles/cognitive-services/openai/concepts/models.md

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@@ -20,7 +20,7 @@ Azure OpenAI provides access to many different models, grouped by family and cap
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| Model family | Description |
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| [GPT-4](#gpt-4-models) | A set of models that improve on GPT-3.5 and can understand as well as generate natural language and code. These models are currently in preview.|
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| [GPT-3](#gpt-3-models) | A series of models that can understand and generate natural language. This includes the new [ChatGPT model (preview)](#chatgpt-gpt-35-turbo). |
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| [GPT-3](#gpt-3-models) | A series of models that can understand and generate natural language. This includes the new [ChatGPT model (preview)](#chatgpt-gpt-35-turbo-preview). |
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| [Codex](#codex-models) | A series of models that can understand and generate code, including translating natural language to code. |
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| [Embeddings](#embeddings-models) | A set of models that can understand and use embeddings. An embedding is a special format of data representation that can be easily utilized by machine learning models and algorithms. The embedding is an information dense representation of the semantic meaning of a piece of text. Currently, we offer three families of Embeddings models for different functionalities: similarity, text search, and code search. |
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