Natural language processing (NLP) is the machine learning technology that typified human ingenuity - we imbued computers with the ability to understand our language the way we do so they could take on arduous tasks without the need for coffee breaks. Put simply, they’re superhuman interns. Put accurately, they interpret text or speech inputs from humans, which is an ability that has since expanded to translating languages and responding to infinite human commands. Conversational AI “chatbots” leverage NLP tech to not only understand human responses and identify the correct task required, but they do it all while simulating your speech, so you’re not struggling to converse with something incapable of anything other than binary beep boops.
Extending from this field of machine learning, Large language models (LLM) have become the next iteration of NLP, executing similar functions through the comprehension of human input and responding in a conversational manner. One critical difference, though, is how LLMs can predict and generate robust responses freely. They, too, are superhuman interns but with more autonomy in the workplace.