As the momentous first year of ChatGPT comes to a close, it’s clear that generative AI (genAI) and large language models (LLMs) are exciting technologies. But are they ready for prime-time enterprise use?
There are well-understood challenges with ChatGPT, where its responses have poor accuracy. Despite being based on sophisticated computer models of human knowledge like GPT-4, ChatGPT rarely wants to admit ignorance, a phenomenon referred to as AI hallucinations, and it often struggles with logical reasoning. Of course, this is because ChatGPT doesn’t reason—it operates like an advanced text auto-complete system.
