OpenAI.ChatCompletion API Endpoint
An OpenAI.ChatCompletion API Endpoint is an LLM API endpoint that is an OpenAI API endpoint.
- Context:
- It can support OpenAI ChatCompletion JSON Mode.
- It can be accessed using an OpenAI API SDK.
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- Example(s):
- ...
- Counter-Example(s):
- See: OpenAI API.
References
2024
- https://platform.openai.com/docs/guides/text-generation/faq
- NOTES:
- OpenAI Text Generation Models Overview: OpenAI's text generation models, also known as generative pre-trained transformers or large language models, have been trained to understand natural language, code, and images, providing text outputs based on inputs called prompts.
- Applications of Text Generation Models: These models enable the development of applications for drafting documents, writing computer code, answering questions, analyzing texts, providing natural language interfaces, tutoring, translating languages, and simulating characters for games.
- Integration of Image Processing: With the introduction of GPT-4-vision-preview, OpenAI models now possess the capability to process and understand images, enhancing the scope of potential applications.
- OpenAI API Usage for Model Access: To access these models, such as gpt-4 and gpt-3.5-turbo, users must send a request containing inputs and an API key to the chat completions API endpoint, receiving the model's output in response.
- Chat Completions API Functionality: The Chat Completions API allows for multi-turn conversations or single-turn tasks by taking a list of messages as input and returning a model-generated message, with the main input being the messages parameter.
- Customization and Deterministic Outputs: OpenAI provides options for customizing the assistant's personality or behavior through system messages and offers a method for obtaining deterministic outputs using the seed parameter, despite the default non-deterministic nature of model outputs.
- Token Management and Pricing: Understanding and managing tokens is crucial as they affect the cost, duration, and feasibility of API calls. Tokens represent chunks of text, and both input and output tokens count towards the total tokens used in a call, influencing billing and operational limits.
- NOTES: