Open AI launches the ChatGPT and Whisper API to be able to integrate these tools into the developers’ apps

MADRID, March 2 (Portaltic/EP) –

Open AI has announced that the application programming interface (API) for ChatGPT and Whisperwith which developers will be able to integrate the chatbot and its AI-powered speech-to-text technology into their applications and services.

the chatbot ChatGPT is a conversational AI tool which is capable of chatting with users, answering their questions and responding in developed text format. This tool has surprised users by the nature of their responses and their ability to generate and link ideas.

Now, the company has announced in a statement on its website the arrival of the API for developers, who will have access to the new family of models called gpt-3.5-turbo. In this sense, Open AI defines gpt-3.5-turbo as “the best model for many non-chat cases”, which means that the ChatGPT API can be used to more functions besides to create a conversational interface AI powered.

Also, as specified by Open AI, gpt-3.5-turbo is priced at $0.002 per 1,000 tokens. That’s about ten times cheaper than their existing GPT-3.5 models. This decline is based on “a series of system-wide optimizations” with which they have achieved 90 percent cost reduction.

The tokens are used to pay for the use of the OpenAI neural network, according to the company. They can be thought of as “word pieces”; Before the API processes the requests, it divides them into tokens to measure how much is being used in words.

For example, a token equals four characters in English. However, the company also provides the ‘Tokenizer’ tool to check how many tokens will be needed to interpret a text string.

In addition, the ChatGPT API also offers dedicated instances for developers. Specifically, the Open AI API runs on Azure and, with dedicated instances, the developers will pay for a period of time in a reserved computing infrastructure allocation to meet your requests.

In this way, they will be able to choose dedicated capacity for ChatGPT in case they anticipate running a large amount of data through the API. Specifically, the company recommended for developers running more than 450 million tokens per day. This option also offers deeper control over the version model specific and system performanceaccording to the company.

Likewise, developers will receive “continuous improvements” in the model and Open AI has assured that it will listen “carefully” to the comments of the developers to “better meet their needs”.

Some companies have already implemented the ChatGPT API for its products like Snapchat, which introduced My AI for Snapchat + last Monday. In this way, the social network provides users with a customizable chatbot offering recommendations or even planning excursion itineraries.

Artificial Intelligence company too offers an API for its Whisper speech-to-text model. Developers will be able to use it for audio transcriptions or translations at a cost of $0.006 per minute. Specifically, the model that includes the API is Whisper large-v2 open source with which they will be obtained “much faster and more profitable” results.

As reported by Open AI, the Whisper API is available through its endpoints ‘transcripts’, that transcribes in the source language, or ‘translations’ which transcribes into English. It also accepts a wide variety of m4a, mp3, mp4, mpeg, mpga, wav and webm formats.


The AI ​​company has also announced changes in their policies. As you have indicated, will not use the data sent via the API to train your models “unless the organization chooses to participate.”

Similarly, Open AI also ensures that it is working to improve your uptime and that the priority of his engineering team is “the stability of production use cases”.

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