Monday, June 17, 2024

OpenAI launches APIs for ChatGPT and Whisper

APIs for ChatGPT and Whisper, OpenAI’s AI-powered transcription and translation service, are now available for businesses to integrate into their conversation platforms. Using these APIs is significantly cheaper than using OpenAI’s existing language model. OpenAI has achieved a 90% cost reduction for ChatGPT since December and is now passing those savings on to API users. Whisper was launched in September and ChatGPT was launched in November. With this new API offering, third-party software can now officially integrate ChatGPT and Whisper.

Whisper is capable of transcribing audio in multiple languages and translating them into English. Despite receiving praise from the developer community, OpenAI has acknowledged that Whisper can be difficult to run. To address this issue, OpenAI has made the large-v2 model available through their API, offering convenient on-demand access priced at $0.006 per minute of audio input. With the large-v2 model, Whisper can provide much faster and cost-effective results. Whisper can accept files in multiple formats, including M4A, MP3, MP4, MPEG, MPGA, WAV, and WEBM. It has been trained on 680,000 hours of multilingual and multitask supervised data collected from the web.

The ChatGPT APIs are built on the GPT 3.5 Turbo language model, which belongs to the same family as the one used in the latest version of ChatGPT. Companies that integrate ChatGPT into their operations will be charged $0.002 per 1000 tokens, equivalent to approximately 750 words. OpenAI will provide businesses with a tool to estimate the cost per user query based on the number of tokens used, and this will be scaled to match their customer query volume. OpenAI asserts that their pricing is 10 times cheaper than the existing GPT 3.5 models, which was the original version that powered ChatGPT.

ChatGPT became an instant success after its launch in November, with 100 million active users registering within two months. However, due to the high demand, the company struggled to keep up with the pace, resulting in downtimes.

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