Sendbird today added an application programming interface (API) to its low-code platform for building mobile applications that allow developers to add bots that communicate with OpenAI’s ChatGPT.
Sendbird’s head of product, Shailesh Nalawadi, said the API allows both new and existing applications to add the ability to directly communicate with generative artificial intelligence (AI) platforms in just minutes.
Most developers will add natural language processing (NLP) interfaces to complement the graphical user interfaces that most mobile applications present today, Nalawadi added. It’s up to each development team to decide how best to use that feature, but Sendbird envisions, for example, allowing a healthcare application to call his ChatGPT and respond to queries. he said.
In the long term, Sendbird will provide an API that will allow mobile app developers to call a wide range of Large Language Models (LLMs). LLM is increasingly being developed for generative AI platforms and optimized for different use cases.
OpenAI’s generative AI models are widely used, mostly thanks to Microsoft, but there are already LLMs that are built for a narrower range of use cases using less data. DevOps teams should expect APIs to call any number of generative AI platforms from within their applications to become commonplace in the coming weeks and months. This is because more and more end users expect to be able to leverage these platforms from within almost any application. You can now call Sendbird’s chatbot API. Over 1,300 existing mobile applications alone.
In general, developers tended to stay away from chatbots. This is because chatbots are often too scripted and inflexible. ChatGPT, on the contrary, offers a much more flexible user experience. Additionally, given the accuracy of some of the data used to train ChatGPT, organizations can feed past conversations and customer relationship management (CRM) data into ChatGPT for more personalized and accurate responses. You can also promote
A recent survey of digital quality testing professionals conducted by Applause, a provider of a platform to access a network of independent testers, found that about one-third (30%) of respondents said their current chatbot, IVR , and the conversational assistant experience was unsatisfactory. Wrong answers (29%) and lack of understanding (24%) were cited as the top two reasons. This result shows that there is ample room for improvement.
Nearly three-quarters (74%) said they had a positive experience with the ChatGPT generative artificial intelligence (AI) platform, and more than two-thirds (67%) said the platform provided useful answers to their questions I am reporting. When it comes to work-related tasks, most people said ChatGPT was either “extremely” (43%) or “somewhat” (37%) helpful.
It’s clear that generative AI platforms are poised to change the way humans and machines interact. Instead of always abstracting the interface with machines, it has become feasible to use language readily understood by humans to interact between them. Thus, the way applications are built and used is fundamentally changing in ways that are difficult to predict.
