Level 1 · What AI is
It writes by predicting what comes next
Chatbots like ChatGPT, Claude and Gemini, and open models like Qwen or DeepSeek, are large language models. Knowing how they produce an answer explains both what they’re great at and where they go wrong.
- A large language model learns patterns from enormous amounts of text. To answer, it writes one small piece at a time (a token, roughly a word or part of one), each time predicting what’s most likely to come next. (The percentages in the picture are illustrative.)
- It doesn’t look facts up in a database unless the app connects it to search or your documents, so it can give fluent, confident answers that are wrong. In June 2023 a US judge fined two lawyers $5,000 for filing a brief that cited court cases ChatGPT had made up.
- Chatting doesn’t retrain the model: its weights are fixed once it’s trained. It works from what’s in the current conversation, plus anything the app saves with features such as ChatGPT’s memory.
Sources: Google for Developers: Introduction to large language models · LawSites: Court sanctions lawyers who filed fake cases from ChatGPT (Mata v. Avianca, June 2023) · OpenAI Help Center: Memory FAQ