Fintech Company Stripe Builds in GPT-4 for User Support

The launch of OpenAI‘s new AI model GPT-4 on Tuesday night is already drawing a number of new applications. With Microsoft already revealing that GPT-4 is built into its search engine at Bing Chat, more companies are coming forward to announce its use as well. This includes the fintech company Stripe, which specializes in payment services.

Thus, GPT-4 in the form of a chatbot will be used in the future in the help and information area “Stripe Docs” and help users with questions to quickly get the right information or an answer to the question asked. “Stripe has long used Artificial Intelligence to improve its products and user experience – including fraud prevention and increasing payment conversion rates. Last year, Stripe worked with Microsoft’s Azure OpenAI team to implement GPT-3 into Stripe Support. This “helps staff find faster solutions to user’ concerns,” according to a statement from the company.

As reported, GPT-4 brings several improvements over its predecessor, GPT-3.5. In addition to improved speech processing, there is now the possibility of image input – i.e. photos, screenshots, or graphics. However, OpenAI also warns that the AI model can still make mistakes and “hallucinate”, for example. In addition, the knowledge of GPT-4 only goes until September 2021.

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AI extracts specific information

The integration of GPT-4 is primarily intended to allow developers to submit natural language queries to the AI within Stripe Docs. “The AI then summarizes the relevant parts of the documentation or extracts specific information. This means development teams have to read less and can instead spend more time developing,” it added. In turn, OpenAI has built-in Stripe’s payment services to process payments for the paid features of ChatGPT Plus and DALL-E.

The application of the AI voice model in the customer support space is obvious. That’s where mobile operators, Internet providers, and many other companies already built in chatbots many years ago, which sometimes worked more, sometimes less well. GPT-4 and the like now seem to be reviving this area. The city of Vienna, for example, has the WienBot in use. Sindre Wimberger, who is in charge of the development, recently announced on Linkedin that they are looking at Large Language Models (LLMs) to further develop the chatbot in the direction of WienGPT.

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(Featured image by D koi via Unsplash)

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