Whisper
Whisper operates by recognizing words from web-sourced data collected from 680,000 hours of multilingual and
multitask training. With this, English speech recognition can be made more robust and accurate to reach the
level of human performance. Technical language, accents, and background noise are not a problem for Whisper.
To learn more about Whisper, see the Whisper documentation.
GPT-3
Provides the foundation for the next generation of apps. You can provide GPT-3 with a text prompt such as a phrase
or a sentence, and it will return a natural language text completion. You can program GPT-3 by showing it a
few examples or 'prompts'. To learn more about GPT-3, see the GPT-3 documentation.
DALL-E 2
DALL-E 2 is an artificial intelligence system that creates realistic images and art based on natural language
descriptions. It can create realistic, original images from a text description. It can bring together concepts,
attributes, and styles. Now, through the API, developers can integrate DALL-E into their apps and products.
To learn more about DALL-E 2, see the DALL-E 2 documentation.
Codex
OpenAI Codex is based on GPT-3. A large part of its training data consists of natural language and billions of
lines of public code, including code in public GitHub repositories. Python is Codex's strongest language, however
it is proficient in a wide range of other languages, such as JavaScript, Go, Perl, PHP, Ruby, Swift, and TypeScript.
To learn more about Codex, see the Codex documentation.