Sendbird today added an application programming interface (API) to its low-code platform for building mobile applications that enables developers to add bots that communicate with OpenAI’s ChatGPT.
Shailesh Nalawadi, head of product for Sendbird, said this API makes it possible to add the ability to communicate directly with the generative artificial intelligence (AI) platform from within both new and existing applications in just a few minutes.
Most developers will add natural language processing (NLP) interfaces to complement the graphical user interfaces that most mobile applications today surface, added Nalawadi. It will be up to each development team to determine how best to employ that capability, but Sendbird envisions, for example, a health care application being able to invoke ChatGPT to answer queries, he noted.
In the longer term, Sendbird will provide APIs to enable mobile app developers to invoke a wide range of large language models (LLMs). LLMs are increasingly being developed for generative AI platforms and are being optimized for a range of use cases.
While OpenAI’s generative AI model is being widely used thanks mainly to Microsoft, there are already LLMs that are being created for a narrower range of use cases using much less data. DevOps teams should expect APIs invoking any number of generative AI platforms from within applications to become commonplace in the weeks and months ahead as more end user come to expect to be able to engage these platforms from within almost every application Sendbird’s chatbot API can now be invoked by more 1,300 existing mobile applications alone.
In general, developers have tended to employ chatbots sparingly because they are often too scripted and inflexible. ChatGPT, conversely, provides a much more open-ended user experience. Organizations can also feed historical conversations or customer relationship management (CRM) data to ChatGPT to drive more personalized and accurate responses, given the veracity of some of the data used to train ChatGPT.
A recent survey of digital quality testing professionals conducted by Applause, a provider of a platform for accessing a networking of independent testers, found nearly one-third (30%) of respondents are dissatisfied with their current chatbot, IVR and conversational assistant experiences, with wrong answers (29%) and a lack of understanding (24%) as the top two reasons cited. The results indicate there is plenty of opportunity for improvement.
Nearly three-quarters (74%) said they had a positive experience with the ChatGPT generative artificial intelligence (AI) platform, with more than two-thirds (67%) reporting the platform provided helpful answers to questions. In terms of work-related tasks, most said ChatGPT would either be “very” (43%) or “somewhat” (37%) helpful.
It’s apparent now that generative AI platforms are about to change the way humans engage with machines. Instead of always creating an abstraction to interface with a machine it’s now feasible for interactions to occur between them using language humans readily understand. As such, the way applications are built and employed is about to fundamentally change in ways that are difficult to predict.