Close-up of a prosthetic arm and a human hand reaching towards each other in harmony.

Why AI Can Sound Certain—and Be Wrong

Some modern chatbots create text by repeatedly predicting the next word, part of a word, or punctuation mark. This can produce remarkably human-like writing.

AI Chatbots: Why Fluent Answers Can Be False

In supervised learning, the training data is labelled with the expected answers, while in unsupervised learning, the model identifies patterns or structures in unlabelled data.

It Learns Patterns, Not Guarantees

During training, GPT-style models learn relationships between words from enormous amounts of text. A later stage tries to make their answers more truthful, useful, and safe.

AI Chatbots: Why Fluent Answers Can Be False

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AI Chatbots: Why Fluent Answers Can Be False | DeepSwipe