The news that ChatGPT is now available via API has generated a lot of excitement in the AI and developer communities. ChatGPT is one of the most advanced language models in existence, capable of generating human-like text with remarkable accuracy. Until now, using ChatGPT required a web interface. However, with the release of the ChatGPT API, developers can now access the power of this model with ease and affordability.
One of the key features of the ChatGPT API is its dedicated instances. This feature allows developers to have deeper control over the specific model version and system performance, which can significantly improve the efficiency and accuracy of their applications.
Chat models take a series of messages as input and return a model-generated message as output. Conversations can be as short as one message or fill many pages. The main input for a chat model is the messages parameter, which must be an array of message objects, where each object has a role (either “system”, “user”, or “assistant”) and content (the content of the message).
In a typical conversation, the system message comes first, followed by alternating user and assistant messages. The system message helps to set the behavior of the assistant, while the user messages instruct the assistant. The assistant messages store prior responses and can also be used by developers to give examples of desired behavior. Including the conversation history helps when user instructions refer to prior messages because the models have no memory of past requests. If a conversation cannot fit within the model’s token limit, it will need to be shortened in some way.
The API offers temperature settings, which give developers greater control over the level of randomness in the model’s output. Additionally, the API offers logit biases, which are a useful way to influence the sampling by post hoc penalizing or encouraging certain tokens.
The ChatGPT API is also very affordable, with pricing at just $0.002/1K tokens, making it one of the most cost-effective OpenAI APIs available, e.g. gpt-3.5-turbo model is 10 times less expensive than the current GPT-3.5 models.
The OpenAI API can be used to build chat-based language models for a variety of tasks, including drafting text, answering questions, creating conversational agents, tutoring, and more.
In conclusion, the release of the ChatGPT API is a major development for the AI and developer communities. It offers developers unprecedented access to one of the most advanced language models, with a wide range of features that enable them to customize the model’s output to suit their needs. With dedicated instances, temperature settings, logit biases, and an affordable pricing model, the ChatGPT API is sure to be a game-changer for developers looking to build chat-driven applications.
