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Tagged #hallucination

GuideTechnology

12 min read

How to Fact-Check AI-Generated Answers

Fluent AI output is not proof of truth. This article gives you a practical verification routine: split an answer into claims, decide which need checking, find primary sources, compare independent ones, check dates, context and numbers, record the source and decide how far to trust it, with special care for health, law, money and statistics.

GuideTechnology

9 min read

Give AI the Right Context: Source Material and Long Documents

The single biggest upgrade to AI answers is not a cleverer prompt. It is giving the model the right material to work from and making it show where each claim came from. This article teaches grounding, quote-first answers and how to handle long documents.

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

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.