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Summary

OpenAI has released ChatGPT and Whisper models through their API, giving developers access to cutting-edge language and speech-to-text capabilities. Many companies such as Snap Inc., Quizlet, Instacart, Shopify and Speak are already utilizing the API. The ChatGPT model is priced at $0.002 per 1k tokens and the Whisper model is priced at $0.006 per minute. OpenAI has also improved their API terms of service and collected feedback from their developers. They have made changes such as data retention policies, improved documentation and clarified data ownership terms. They are also offering dedicated instances for deeper control over their models with optimized system performance.

Q&As

What are the ChatGPT and Whisper models used for?
The ChatGPT and Whisper models are used for language (not just chat!) and speech-to-text capabilities.

How much cost reduction has OpenAI achieved for the ChatGPT model since December?
OpenAI has achieved 90% cost reduction for the ChatGPT model since December.

What features does the ChatGPT API offer?
The ChatGPT API offers continuous model improvements, the option to choose dedicated capacity for deeper control over the models, and the ability to pin the model snapshot.

What are the advantages of using dedicated instances for ChatGPT API?
The advantages of using dedicated instances for ChatGPT API include full control over the instance’s load, the option to enable features such as longer context limits, and the ability to pin the model snapshot.

What changes has OpenAI made to developer documentation and Terms of Service in response to customer feedback?
OpenAI has made changes to developer documentation and Terms of Service such as data submitted through the API no longer being used for service improvements (including model training) unless the organization opts in, implementing a default 30-day data retention policy for API users, removing the pre-launch review, improving developer documentation, and simplifying the Terms of Service and Usage Policies.

AI Comments

👍 I am impressed by the extensive measures OpenAI has taken to ensure developers have the best experience possible with their new ChatGPT and Whisper APIs. They have reduced costs, optimized the APIs, and improved terms of service to better meet the needs of their developers.

👎 It is disappointing that OpenAI has not been able to maintain the uptime they promised. This has been a major issue for many of their users and they need to make this a priority in order to ensure the success of their APIs.

AI Discussion

Me: It's about the ChatGPT and Whisper APIs that developers can now integrate into their apps and products. It looks like these APIs will provide access to cutting-edge language and speech-to-text capabilities, while also providing cost savings and improved terms of service.

Friend: Wow, that's really cool. What implications does this have?

Me: Well, this could have a huge impact on how developers build apps, as they now have access to more powerful language and speech-to-text capabilities. This could also mean more cost-effective solutions for developers, as the ChatGPT and Whisper APIs are priced much lower than other GPT-3 models. Finally, developers will benefit from improved terms of service and data retention policies, giving them more control over their data.

Action items

Research the ChatGPT and Whisper APIs to understand how they can be integrated into apps and products.
Explore the pricing and terms of service for the ChatGPT and Whisper APIs to determine if they are a good fit for the desired application.
Test out the ChatGPT and Whisper APIs with sample data to get a better understanding of their capabilities and performance.

Technical terms

Model: A mathematical representation of a real-world system, usually used to predict outcomes or behaviors.
API: Application Programming Interface. A set of routines, protocols, and tools for building software applications.
Chat Markup Language (ChatML): A language used to represent unstructured text as a sequence of “tokens” for the ChatGPT model to consume.
GPT-3: A natural language processing model developed by OpenAI.
Request: A request sent to an API.
Response: The response sent back from an API.
Python bindings: A set of functions and classes that allow Python code to access the API.
Dedicated instances: A type of API request that is run on compute infrastructure that is reserved for a specific user.
Whisper: An open-source speech-to-text model developed by OpenAI.
Transcriptions: The process of converting speech into text.
Translations: The process of converting text from one language to another.
M4A, MP3, MP4, MPEG, MPGA, WAV, WEBM: Audio file formats.