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.
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.
In the world of AI (Artificial Intelligence) and its ever-growing importance in transforming our daily lives, Juji, Inc. has emerged as a peculiar standout. ZDNet, one of the leading online tech news sites, recently released a thorough coverage of Juji. Delving deep, their feature focuses on Juji's AI chatbot and its distinctive capabilities.
In her article on Axios, journalist Joann Muller highlights the changing face of customer service chatbots. She underscores that improvements in AI technology have made chatbots more personable and effective in providing assistance.
We are thrilled to announce that Juji has been featured in a New York Times article titled “'No-Code' Brings the Power of AI to the Masses”. The article by Craig S. Smith explores the rising trend of no-code software that enables anyone to utilize artificial intelligence without needing to understand complex programming.
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.
Juji, an AI-driven conversational technologies company, has made an open-source
contribution to the world with
Datalevin, a versatile, lightweight, and
fast embedded database engine. In addition to being powered by the Datalog query
language, it also acts as a Clojure native Key-Value (KV) store. This transactional database solution is agile and dynamic, suitable for handling complex data structures.
SARATOGA, Calif. — June 29, 2021 — Today, Juji Inc., an Artificial Intelligence (AI) company that specializes in developing cognitive AI assistants, announced the findings of a study, “IdeaBot: Investigating Social Facilitation in Human-Machine Team Creativity,” by researchers at Cornell University’s College of Agriculture and Life Sciences (Cornell CALS). The study utilized Juji’s AI platform to investigate how humans collaborate with a cognitive AI assistant, in the form of a chatbot for a creative brainstorm.
