Today, we will review ChatGPT -3.5 -Turbo and Whisper API, both these models were highly praised by the community.
Open AI announced the release of ChatGPT API on 01 March, which is the same model that was used in ChatGPT, but it is 10 times cheaper than the existing GPT -3.5 models, making the price at $0.002 per 1k tokens. This model has been fine-tuned with supervised and reinforcement learning techniques to generate high-quality text in several domains, articles, content, and translation. The 3.5 series was trained on an Azure AI supercomputing infrastructure and was optimized to perform well on tasks related to conversational AI.
Social media platforms such as:
- Snap Inc.
Have already integrated ChatGPT API, at Shopify’s consumer app, it is being used as Shop’s shopping assistant; on My AI for Snapchat it is being applied as a chatbot that offers recommendations, and in Quizlet it is being used as an AI tutor that engages students with questions based on relevant study materials.
Whisper API Model
Whisper API, on the other hand, is an AI-powered tool that can convert speech-to-text in real time. This model seems to be harder to run, and OpenAI has made the large-v2 model available through their API, making its price convenient to use at $0.006 per minute. It accepts different types of formats (mp3, mp4, mpeg, m4a, mpga, wax, webm).
This speech-to-text API model provides two endpoints, transcriptions and translations. It can be used to transcribe audio into any language that its in and translate and transcribe the audio into English.
The model was trained on almost 100 languages, but they have only listed those that had less than 50% word error rate (WER). Whisper API only supports files that are less than 25 MB; if your file is larger than 25 MB’s, you should split it or use a compressed audio format.
Prompting can be used to improve the quality of the transcripts generated by the model. The model will try to match your style; therefore, capitalization and punctuation are more likely to happen if you use them in your prompt.
One of the most impressive features of Whisper API is the ability to generate text in a natural tone; this makes it an ideal tool for chatbots, virtual assistants, and customer support systems.
You can even use bubble.io platform, which enables users to integrate these models on your website and allows you to create interactive, multi-user apps for mobile and desktop and coding.
How do Businesses Benefit From These Models
These tools are so powerful and can significantly increase productivity, as they were designed to assist businesses in automating repetitive tasks, improving their customer engagement, and streamlining operations.
A business can use Chat GPT 3.5 Turbo to generate social media posts and free their employees from boring tasks allowing them to focus on more important ones. Additionally, this model can help reduce response times and improve customer satisfaction.
Whisper API allows businesses to integrate NLP into their applications, and it can understand complex queries and generate relevant responses. This model provides functions that can be very useful for a company, such as a language translation, summarization, and sentiment analysis. With the help of Whisper API, businesses can provide quick, accurate, and efficient solutions to customer queries.