As artificial intelligence (AI) becomes increasingly popular, developers are looking for ways to integrate language and speech-to-text capabilities into their applications. OpenAI, owned by Microsoft, has made it easier for developers to do this by opening up its ChatGPT and Whisper APIs. However, to use these models effectively, developers need to understand how they work and the pricing involved. This blog post will cover the essential information needed to use ChatGPT 3.5 Turbo and Whisper APIs.
How ChatGPT 3.5 Turbo and Whisper APIs Work
ChatGPT 3.5 Turbo and Whisper are two of the most popular large language models developed by OpenAI. Both of them have some limitations, including prompt-based attacks, where malicious adversarial prompts can get them to perform tasks that were not part of their original objectives. Therefore, developers need to take special precautions when using these AI models in their applications.
Developers must be aware of the tokens used by these models. These tokens are pieces of text that developers can send to the API to have the model respond to their request. The number of tokens needed for the request depends on the length of the message and the model’s response. For example, if a developer sends a message asking for “party ideas” to the ChatGPT model, they will need 1,000 tokens (about 750 words). The API will respond with a response that contains both the original text and any responses generated by the model.
Customization Options
The ChatGPT and Whisper APIs can also be customized with additional instructions for the model to follow. This allows developers to customize their responses and better tailor them for specific use cases. Developers can choose to deploy their ChatGPT and Whisper models on dedicated instances for more control over the model version and system performance. These instances are hosted in Microsoft’s Azure public cloud, and they allow users to allocate compute infrastructure reserved exclusively for their requests.
Cost Savings
According to the blog post, dedicated instances can be significant cost savings for developers processing more than about 450M tokens per day. The dedicated instances come with a variety of options to customize the model’s performance, including longer context limits and the ability to pin a snapshot of a model’s output to the instance.
Whisper API for Speech-to-Text Transcriptions and Translations
OpenAI has released an updated version of its Whisper API for speech-to-text transcriptions and translations. This new version is 10 times cheaper than the previous model and can be used for a wide range of applications, from transcribing interviews to creating subtitles for videos. The API is accessible through OpenAI’s transcriptions (transcribe in the source language) or translations (translate into English) endpoints and accepts a variety of formats, such as m4a, mp3, mp4, mpeg, mpga, wav, and webm.
Conclusion
ChatGPT 3.5 Turbo and Whisper APIs offer developers a range of powerful tools to integrate AI language and speech-to-text capabilities into their applications. However, developers need to take precautions to avoid prompt-based attacks and be aware of the tokens used by these models. Customization options and dedicated instances can provide developers with more control over the model’s performance and save on costs. With the updated version of Whisper API, developers can now transcribe interviews and create subtitles for videos at a more affordable price. By understanding how these models work and the options available, developers can take full advantage of ChatGPT 3.5 Turbo and Whisper APIs to enhance their applications.
FAQs
What are ChatGPT 3.5 Turbo and Whisper APIs?
They are OpenAI’s language and speech-to-text APIs.
Can developers use ChatGPT and Whisper in their apps?
Yes, OpenAI has opened up its APIs to third-party developers.
Are there any limitations to these models?
Yes, they are vulnerable to prompt-based attacks.
How can developers protect themselves against vulnerabilities?
They should be aware of the tokens used by the models.
What are dedicated instances for ChatGPT and Whisper?
They are hosted in Microsoft’s Azure public cloud and allow users to allocate compute infrastructure.
Are dedicated instances cost-effective?
They can be significant cost savings for developers processing more than 450M tokens per day.
