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ChatGPT and Whisper models are now available on our API, giving developers access to cutting-edge language (not just chat!) and speech-to-text capabilities. Through a series of system-wide optimizations, we’ve achieved 90% cost reduction for ChatGPT since December; we’re now passing through those savings to API users. Developers can now use our open-source Whisper large-v2 model in the API with much faster and cost-effective results. ChatGPT API users can expect continuous model improvements and the option to choose dedicated capacity for deeper control over the models. We’ve also listened closely to feedback from our developers and refined our API terms of service to better meet their needs.

Early users of ChatGPT and Whisper APIs

Snap Inc., the creator of Snapchat, introduced My AI for Snapchat+ this week. The experimental feature is running on ChatGPT API. My AI offers Snapchatters a friendly, customizable chatbot at their fingertips that offers recommendations, and can even write a haiku for friends in seconds. Snapchat, where communication and messaging is a daily behavior, has 750 million monthly Snapchatters:

Quizlet is a global learning platform with more than 60 million students using it to study, practice and master whatever they’re learning. Quizlet has worked with OpenAI for the last three years, leveraging GPT-3 across multiple use cases, including vocabulary learning and practice tests. With the launch of ChatGPT API, Quizlet is introducing Q-Chat, a fully-adaptive AI tutor that engages students with adaptive questions based on relevant study materials delivered through a fun chat experience:

Instacart is augmenting the Instacart app to enable customers to ask about food and get inspirational, shoppable answers. This uses ChatGPT alongside Instacart’s own AI and product data from their 75,000+ retail partner store locations to help customers discover ideas for open-ended shopping goals, such as “How do I make great fish tacos?” or “What’s a healthy lunch for my kids?” Instacart plans to launch “Ask Instacart” later this year:

Shop, Shopify’s consumer app, is used by 100 million shoppers to find and engage with the products and brands they love. ChatGPT API is used to power Shop’s new shopping assistant. When shoppers search for products, the shopping assistant makes personalized recommendations based on their requests. Shop’s new AI-powered shopping assistant will streamline in-app shopping by scanning millions of products to quickly find what buyers are looking for—or help them discover something new:

Speak is an AI-powered language learning app focused on building the best path to spoken fluency. They’re the fastest-growing English app in South Korea, and are already using the Whisper API to power a new AI speaking companion product, and rapidly bring it to the rest of the globe. Whisper’s human-level accuracy for language learners of every level unlocks true open-ended conversational practice and highly accurate feedback:

ChatGPT API

Model: The ChatGPT model family we are releasing today, gpt-3.5-turbo, is the same model used in the ChatGPT product. It is priced at $0.002 per 1k tokens, which is 10x cheaper than our existing GPT-3.5 models. It’s also our best model for many non-chat use cases—we’ve seen early testers migrate from text-davinci-003 to gpt-3.5-turbo with only a small amount of adjustment needed to their prompts.

API: Traditionally, GPT models consume unstructured text, which is represented to the model as a sequence of “tokens.” ChatGPT models instead consume a sequence of messages together with metadata. (For the curious: under the hood, the input is still rendered to the model as a sequence of “tokens” for the model to consume; the raw format used by the model is a new format called Chat Markup Language (“ChatML”).)

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