Although powerful large language models (LLMs) like GPT can power a chatbot with abilities to interpret and generate response to user input, they do not really teach the chatbot how to carry out an effective and pleasant dialog with a user. Additionally, AI is far from perfect and there are always cases where AI cannot handle or handles wrong. Hence the role of a conversational AI designer is critical as they put their wisdom and creativity into an AI chatbot and ensure effective dialogs between AI and its users.
Are you considering an AI chatbot for your business? A simple Google search will present you with hundreds if not thousands of AI chatbot platforms! Almost all of them claim that they are powered by generative AI and all seem to offer similar features, giving the first impression that any of them would do the job.
With generative AI becoming a hot topic (again), CXOs started adding AI projects, especially implementing an AI chatbot like ChatGPT for business, on their to-do list. While a chatbot powered by generative AI may be a game-changer for business, investing in a chatbot is not cheap nor trivial. So it is worth asking first: does your business really need an AI chatbot? We suggest that business leaders answer the 3 questions below to quickly determine whether it is worth investing in a chatbot for a line of business.
What is "conversational"? By the Merriam-Webster dictionary, conversation is defined as an "oral exchange of sentiments, observations, opinions, or ideas". Because of the exchange, one-on-one conversations are often considered the most effective way for humans to engage with one another.
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.
In my previous blog, I talked about what it takes to build a chatbot using GPT-4, including the engineering efforts required and a rough cost and time estimate. Although it is non-trivial to build a practical chatbot solution for real-world applications, with the right tools, one can build a custom chatbot solution quickly to take full advantage of the state-of-the-art large language models (LLMs) like GPT-4.
With the popularity of ChatGPT and more recently AutoGPT, more and more organizations (or individuals) are considering the adoption of a chatbot for their website or proprietary applications (e.g., a learning program website or a mobile healthcare application). The pressing question is: should I build or buy one?
CXSCOOP, the leading media featuring latest information technology for customer experience and customer relationship management, published a story about Juji. Senior Tech Reporter, Sandra Radlovacki Vukanovic, recently featured Juji in an article titled "New Juji Tool Helps Companies Automate Chatbot Building".
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.
