The massive popularity of the ChatGPT API makes generative AI one of the most impactful technology innovations over the last few years. It provides the capability to both understand and generate language-based content far outstripping the current customer service bots used throughout the business world. Intriguing use cases abound in a variety of industries, including source code generation, image-generated prompts, and conversational AI, ultimately helping humans become more productive at their jobs.
Developers hoping to leverage this state-of-the-art functionality in their own projects received good news when OpenAI API released an API for ChatGPT. This enables companies to build paid apps and interactive websites effectively using OpenAI’s models and chatbot technology as a service. Needless to say, since its early March release, a variety of businesses and developers released a host of apps using the new API.
So let’s take a deeper dive into the new ChatGPT API so you understand how to integrate it into your next project whether it's text generation, building generative AI models, or something else. We also touch upon OpenAI’s related Whisper API which provides AI functionality around speech recognition. Implementing both keeps your company on the leading edge of the continued impact of AI on the global economy and improves customer support and the creation of content.
The ChatGPT API is based on OpenAI’s GPT-3.5-Turbo model. The pricing to access the service comes in at $0.002 per 1000 tokens, which OpenAI claims is 10x more inexpensive compared to accessing the previous GPT-3.5 model. A token represents a sequence of unstructured text used as input into the model. OpenAI also created ChatML, a markup language containing both the input text and associated metadata, for developers to use when accessing the API.
Note, if your project expects to enjoy high usage, OpenAI makes dedicated instances of the API available on their Azure cloud service. They recommend companies using more than 450 million tokens per day consider this approach, as it becomes more cost-effective with higher volumes in this wide range. For more detailed information on using the ChatGPT API keys, check out OpenAI’s guide.
Additionally, the ChatGPT API currently provides no access to the new GPT-4 large language model. In fact, it’s still in the preview stage. More information on receiving preview access is at the following link.
A machine learning model using ChatGPT's training data sets in combination with OpenAI’s Whisper API offers the opportunity to craft apps using speech recognition for transcription functionality or even building a voice-activated assistant, like Siri or Alexa. This ChatGPT API accesses the large-v2 model at a price of $0.006 per minute. Keep Whisper and its capabilities in mind during your project ideation process. Learn more about the Whisper API with this OpenAI guide.
After the release of the ChatGPT API, many applications quickly added enhanced conversational chatbot features leveraging the API. Let’s take a look at a few of the most popular examples to help inspire some ideas for a killer new project using the latest in generative AI.
These examples reveal the potential impact of generative AI in education, social media, and online retail. The ChatGPT API definitely makes it easier for developers to add this functionality to their own apps. Also, pay attention to any ChatGPT alternatives making an impact in this field.
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