AI representatives are different from any other technology

Who are AI representatives?  

A terrific method to grasp representatives is by contrasting them with something we’ve all experienced before: AI virtual assistants like ChatGPT. 

Current, prevalent LLM-based virtual assistants are constructed on the assumption that the user desires, anticipates, and will gain text results—phrases and figures. Regardless of what the user inputs into the prompt, the application is prepared to generate replies with characters from the alphabet and figures from the numerical system. The virtual assistant aims to render the output practical, naturally. However, it’s tailored for text input and text output. 

Agent-based AI is distinct. A representative doesn’t immediately delve into the training data to locate words to link together. Alternatively, it pauses to comprehend the user’s goal and devises the necessary elements to fulfill that aim for the user. It strategizes. And then it implements that plan, typically by accessing and utilizing other software and cloud services.

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AndyC

Andy Curtis is an award-winning security consultant, researcher and public speaker. He has been working in the computer security industry since the early 1990s, having been employed by state and federal government, leading healthcare and banking providers across three continents. He has given talks about computer security for some of the world’s largest companies, worked with law enforcement agencies on investigations into hacking groups, and is a regular voice on TV and radio explaining IT security threats.

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