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OpenAI API provides access to powerful and affordable models for text and image input and output, as well as tools for fine-tuning, retrieval, and code interpreting. Learn how to use the API platform, explore the flagship models, and see how customers are using OpenAI to transform their industries.
- Pricing
Chat completion (opens in a new window) requests are billed...
- Service Terms
OpenAI’s indemnification obligations to API customers under...
- Terms & Policies
Terms & Policies - API platform | OpenAI
- Alignment
Safety teams. Our teams span a wide spectrum of technical...
- Customizing Gpt-3 for Your Application
Last year we trained GPT-3 (opens in a new window) and made...
- Dall·E
DALL·E is a 12-billion parameter version of GPT-3 (opens in...
- About
We’re releasing an API for accessing new AI models developed...
- OpenAI Platform
The OpenAI API provides a simple interface for developers to...
- Pricing
Watch the video of the opening keynote from OpenAI DevDay, the first developer conference by OpenAI. Learn about the latest AI advancements and explore the new models and developer products announced at DevDay.
Jun 11, 2020 · OpenAI offers an API for using its general-purpose text generation models, which can be trained or fine-tuned on specific datasets or feedback. The API is in private beta and requires approval for use cases that are safe, beneficial, and open-ended.
The OpenAI API provides a simple interface for developers to create an intelligence layer in their applications, powered by OpenAI's state of the art models. The Chat Completions endpoint powers ChatGPT and provides a simple way to take text as input and use a model like GPT-4o to generate an output.
The OpenAI API can be applied to virtually any task. We offer a range of models with different capabilities and price points, as well as the ability to fine-tune custom models. Resources. Experiment in the playground. Read the API reference. Visit the help center. View the current API status. Check out the OpenAI Developer Forum.
Instant answers. Greater productivity. Endless inspiration. Try ChatGPT. We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial AGI is our mission.
OpenAI’s text embeddings measure the relatedness of text strings. Embeddings are commonly used for: An embedding is a vector (list) of floating point numbers. The distance between two vectors measures their relatedness. Small distances suggest high relatedness and large distances suggest low relatedness.
