NVIDIA AND AI

Testing of Alphabet's ChatGPT and Google Bard revealed an inherent problem with these systems: they can (sometimes) provide answers that are "irrelevant, nonsensical or factually incorrect," according to the New York Times.

In a blog post,$NVDA'sJonathan Cohen, Nvidia's vice president of applied research, details a solution the company has developed to mitigate problems with chatbots that digress into fantasy or outright lie. He said the company has developed NeMo Guardrails, "newly released open source software" to help chatbots "stay on track."

You can write a script that says if someone talks about this topic, whatever happens, respond that way," Cohen said. "You don't have to rely on the language model to follow the prompt or follow your instructions. It's actually hard-coded into the logic of the guardrail implementation what will happen."

Nvidia has an eminent interest in helping to usher in the future. Wider adoption of AI would undoubtedly benefit it, as it supplies the semiconductors used to power cloud computers, data centres and those used to train and run these complex AI models.

Management estimates that enterprise AI software represents a $150 billion opportunity for Nvidia, while chips and systems could generate another $300 million. Overall, Nvidia believes it is chasing a total addressable market of roughly $1 trillion, which is all the more reason the company wants to thrive in AI.

If software developers can realize just 10% of the value created by their creations, advances in AI could generate up to $14 trillion in additional revenue and $90 trillion in enterprise value, according to the report.

Nvidia's technology could help keep future advances on track.