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Tagged #large language models

GuideTechnology

11 min read

Why AI Sounds Right and Still Gets Things Wrong

Hallucinations are not random glitches. They follow predictable patterns that you can learn to spot. This article explains why fluent AI answers can be false, where errors cluster, and which habits reduce them, with an honest account of what no habit can fix.

GuideTechnology

12 min read

How Language Models Work: Training, Inference, Tokens and Context

You do not need maths to use AI well, but you do need a correct picture of what happens when you press enter. This article explains next-token prediction, training versus inference, tokens and the context window, and the practical habits each idea implies.

GuideTechnology

10 min read

AI, Machine Learning, Generative AI and LLMs: The Map

AI, machine learning, deep learning, generative AI, LLM, chatbot, model, agent: the words get used as if they mean the same thing. They do not. This article draws one simple map so every later article makes sense.

GuideTechnology

5 min read

How Do AI Chatbots Like ChatGPT and Claude Actually Work?

AI chatbots feel like magic, but the basic idea is simple: they predict the next piece of text, based on patterns learned from huge amounts of writing. Here is how that works and why they sometimes get things wrong.