Crate rs_openai

source ·

Re-exports

Modules

  • Learn how to turn audio into text.
  • Given a chat conversation, the model will return a chat completion response.
  • Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position.
  • Given a prompt and an instruction, the model will return an edited version of the prompt.
  • Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms.
  • These endpoints describe and provide access to the various engines available in the API.
  • Files are used to upload documents that can be used with features like Fine-tuning.
  • Manage fine-tuning jobs to tailor a model to your specific training data.
  • Given a prompt and/or an input image, the model will generate a new image.
  • List and describe the various models available in the API. You can refer to the Models documentation to understand what models are available and the differences between them.
  • Given a input text, outputs if the model classifies it as violating OpenAI’s content policy.

Structs

Constants