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articles/ai-services/openai/how-to/work-with-code.md

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# Codex models and Azure OpenAI Service
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> [!NOTE]
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> This article was authored and tested against the [legacy code generation models](/azure/ai-services/openai/concepts/legacy-models). These models use the completions API, and its prompt/completion style of interaction. If you wish to test the techniques described in this article verbatim we recommend using the `gpt-35-turbo-instruct` model which will allows access to the completions API. For code generation the chat completions API and the latest GPT-4 models will generally yield the best results.
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> This article was authored and tested against the [legacy code generation models](/azure/ai-services/openai/concepts/legacy-models). These models use the completions API, and its prompt/completion style of interaction. If you wish to test the techniques described in this article verbatim we recommend using the `gpt-35-turbo-instruct` model which allows access to the completions API. However, for code generation the chat completions API and the latest GPT-4 models will generally yield the best results, but the prompts would need to be converted to the conversational style specific to interacting with those models.
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The Codex model series is a descendant of our GPT-3 series that's been trained on both natural language and billions of lines of code. It's most capable in Python and proficient in over a dozen languages including C#, JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, SQL, and even Shell.
2020

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