With the launch of ChatGPT plus, more and more organizations started to build their own chatbots. While ChatGPT Plus provides a natural language interface for almost anyone to build a chatbot, it is inadequate for building a chatbot in a business context.
Humanity’s shiny new toy, generative AI like ChatGPT, has shown to be very powerful at interpreting users’ natural language expressions to quickly produce a wide range of text responses, from copy-editing text to summarizing a dialog. While AI responses sound quite confident, we have gradually discovered the flaws in those responses. For example, I asked ChatGPT, “Who invented IBM System U and later known as IBM Personality Insights?” It gave me the following response with names of two people, who may or may not even exist. This phenomenon is referred to as “AI hallucination.”
ChatGPT and similar AI applications have given humankind a new tool. While this new tool is powerful, it may not always be reliable. Hence the term “AI hallucinations” is coined to refer to such unreliable AI performance.
Lately, it's nearly impossible to go a day without encountering headlines about generative AI technologies and their applications like ChatGPT or AutoGPT. AI has become red hot again, and its hotness is astonishing: suddenly almost everyone wants to jump on the AI bandwagon.
If you've interacted with a decent AI chatbot, you've probably noticed that it exudes a certain level of cognitive intelligence – a reflection of human soft skills. This realization initially struck me as amusing as I was poring over chat transcripts with Juji, our chatbot.
In a recently published
article
in InfoWorld, our esteemed CEO Dr. Michelle Zhou addressed the rapidly evolving landscape of AI technology and discussed a breakthrough that could be a major game-changer across industries - the advent of No-Code Reusable AI. This article provides a profound perspective and insight into the future of AI. Today, we're going to dissect and delve into the key points of the discussion.
When people first use Juji, they are often amazed by how easy it is to create an intelligent chatbot with the platform. This reaction of pleasant surprise is particularly pronounced for people in the know, i.e. technical people who have actually done relevant work before. I am talking about the CTOs, the NLP researchers, and the employees of big technology firms.
The widespread use of cell phones and social media has made text-based communication, also known as texting, a mainstream communication method. For example, a Gallup polls hows that texting is the dominant communication method for Americans under 50. Popular text messaging platforms, such as Facebook Messenger and WeChat, all boasted over 1 billion active users monthly.
