Large language models (LLMs) are a popular type of Generative AI (GenAI) that processes human language and generates human-like language using predictive patterns based on their training on vast datasets. Examples of LLMs include Open AI GPT-4o, Google Gemini, and Anthropic Claude.
When a request is typed into a chatbot interface, the LLM generates a response using probabilistic methods to predict language patterns based on its training model. The result is a response that appears very natural and human-like. Responses become increasingly sophisticated with each conversation as chats are added to the training model, and the LLM develops a profile of the user.
The datasets used to train LLMs include biased information, misinformation, propaganda, and objective facts. However, an LLM does not distinguish between credible and non-credible information. Therefore, LLM responses should be considered fabrications or hallucinations until cross-checked by you, the human.
