Understanding the Distinction: What You Need to Know About LLMs, AI, and the Technology Behind Chatbots

Large language models (LLMs) are the backbone of generative AI technologies, such as ChatGPT and Google Gemini. These models don’t comprehend language like humans; instead, they use vast amounts of training data to predict word sequences based on patterns. LLMs have millions or billions of parameters and rely on deep learning, akin to teaching a child through examples. They process text by breaking it into tokens and creating a map of word relationships, refining their predictions through continuous feedback. Despite their abilities, LLMs have weaknesses: they can fabricate information, struggle with unique queries or abstract reasoning, and often lack current knowledge. Integrating LLMs with search engines aims to improve the accuracy of responses, though it presents challenges like potential misinformation. Understanding how LLMs operate is essential for navigating their capabilities and limitations in our increasingly AI-driven world.

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