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We’ve created an improved version of OpenAI Codex, our AI system that translates natural language to code, and we are releasing it through our API in private beta starting today.
OpenAI Codex, a natural language-to-code system based on GPT-3, helps turn simple English instructions into over a dozen popular coding languages. Codex was released last August through our API and is the principal building block of GitHub Copilot.
Prices can be viewed in units of either per 1M or 1K tokens. You can think of tokens as pieces of words, where 1,000 tokens is about 750 words. Language models are also available in the Batch API that returns completions within 24 hours for a 50% discount.
A new series of AI models designed to spend more time thinking before they respond.
We’ve released new versions of GPT-3 (opens in a new window) and Codex (opens in a new window) which can edit or insert content into existing text, rather than just completing existing text.
Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform.
We’re releasing an API for accessing new AI models developed by OpenAI. Unlike most AI systems which are designed for one use-case, the API today provides a general-purpose “text in, text out” interface, allowing users to try it on virtually any English language task.
We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A distinct production version of Codex powers GitHub Copilot.
Other changes include an improved Playground, which makes it easy to prototype with our models, an example library with dozens of prompts to get developers started, and Codex, a new model that translates natural language into code.
Customize a model’s existing knowledge and behavior for a specific task using text and images via supervised fine-tuning. Plus, use our Model Distillation tools to fine-tune smaller models on the outputs of more capable models. Learn more.