It is a tool optimized to synthesize content, not necessarily to recall facts - this is what distinguishes it from the popular search engines that are in common use. It is important to recognize that when generative AI is producing a response to a prompt, it is predicting (based on its knowledge of language patterns) what words are most likely to come next in response to the prompt. LLMs are capable of a multitude of functions, including searching and retrieving information, drafting and summarizing content, and answering both broad and narrow questions. LLMs are general purpose models that “understand” a wide variety of domains and language constructs because of the diversity of the data on which they are trained. LLMs are trained by using vast amounts of data from a range of sources, including books, blogs, news articles, Wikipedia information, social media posts, and other website content. To use ChatGPT (and similar platforms), a user types in a research question or requests information, sometimes based on documents, images, or other information the user provides, and ChatGPT provides a response written in natural language, as if a human had written it. LLMs can process and generate natural language text in a seemingly human manner. LLMs are an advanced form of generative AI that are the basis for generative pre-trained transformer (GPT) platforms, such as ChatGPT. Generative AI is a type of AI that generates new content or data in response to a prompt, or question, by a user. ![]() ![]() What are the basics litigators should know about how generative AI and LLMs work?
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