The earliest iterations of chatbots implemented to “help” customers often did anything but. Many were rigid in the responses they could parse, and they needed customers to speak in a certain way before they could fully understand intent. While breakthroughs like OpenAI’s ChatGPT have significantly raised the usability of chatbots and accelerated their development, users are still finding they need to engage in “training” for chatbots today.
To better train and test chatbots, businesses need to be able to identify a wide range of ways that users can express their goals for interacting in the first place. Identifying as many approaches as possible that a user can take to express their intent can be challenging, however , due to the unpredictable and unlimited options users have of voicing their querying inputs. (“What’s my balance?” or “Check my balance” or “I’m looking to find out my account balance.” are just a few variations.)
Customer experience (CX) assurance company Cyara recently announced its OpenAI GPT-3 integration, which will accelerate the generation of training and testing data for Cyara Botium, the company’s one-stop solution for comprehensive, automated chatbot and conversational AI CX testing and assurance. By integrating OpenAI’s GPT-3, the company allows enterprises to accelerate the development of their chatbots and voice bots while simultaneously improving quality.
With this integration, Cyara Botium automatically generates a meaningful list of user examples powered by the GPT-3 large language model (LLM) and the domain(s) the chatbot is programmed to handle. Once the list of user inputs is created, it can be used for training and testing purposes. This improves both speed of development and quality of the chatbot by reducing the time it takes to develop training and testing data, reducing labor time and costs during the development process (along with increased test coverage).
“Cyara is leading the charge in delivering exceptional conversational AI experiences by recognizing the power of large language models (LLMs),” said Christoph Börner, Senior Director of Digital at Cyara. “This integration is another example of our commitment to delivering cutting-edge chatbot testing solutions to our customers. Cyara’s integration of GPT-3 for training and testing conversational AI has not only elevated the industry standard for delivering exceptional chatbot experiences but has also played a pivotal role in shaping the future of CX.”
Edited by
Alex Passett
