If this is your first time using these models programmatically, we recommend starting with our GPT-35-Turbo & GPT-4 Quickstart. The following code snippet shows the most basic way to use the GPT-35-Turbo and GPT-4 models with the Chat Completion API. Working with the GPT-35-Turbo and GPT-4 models If you try to interact with the models the same way you did with the older model series, the models will often be verbose and provide less useful responses. It's important to use the techniques described here to get the best results. This article walks you through getting started with the GPT-35-Turbo and GPT-4 models. This provides lower level access than the dedicated Chat Completion API, but also requires additional input validation, only supports gpt-35-turbo models, and the underlying format is more likely to change over time. It is also the only way to access the new GPT-4 models.ĬhatML uses the same completion API that you use for other models like text-davinci-002, it requires a unique token based prompt format known as Chat Markup Language (ChatML).

This API is the preferred method for accessing these models. The Chat Completion API is a new dedicated API for interacting with the GPT-35-Turbo and GPT-4 models. Completion API with Chat Markup Language (ChatML).In Azure OpenAI there are two different options for interacting with these type of models: While this format was designed specifically for multi-turn conversations, you'll find it can also work well for non-chat scenarios too. The models expect input formatted in a specific chat-like transcript format, and return a completion that represents a model-written message in the chat. However, the GPT-35-Turbo and GPT-4 models are conversation-in and message-out.

Previous models were text-in and text-out, meaning they accepted a prompt string and returned a completion to append to the prompt. The models behave differently than the older GPT-3 models. The GPT-35-Turbo and GPT-4 models are language models that are optimized for conversational interfaces.

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