Everyone is buzzing about ChatGPT, Bard, and generative AI. But, inevitably, the reality check follows the hype. While business and IT leaders are excited about the disruptive potential of technology in areas such as customer service and software development, they are also becoming more aware of some potential downsides and risks to be aware of.
In short, for organisations to realise the full potential of large language models (LLMs), they need to be able to deal with the hidden risks that could otherwise undermine the technology’s business value.
What exactly are LLMs?
LLMs power ChatGPT and other generative AI tools. They process massive amounts of text data using artificial neural networks. The model can interact with users in natural language after learning the patterns between words and how they are used in context. In fact, one of the main reasons for ChatGPT’s extraordinary success is its ability to tell jokes, compose poems, and communicate in a way that is difficult to distinguish from that of a real human.
This article has been indexed from CySecurity News – Latest Information Security and Hacking Incidents
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