How does a computer learn from examples? Why can a chatbot sound so sure when it is wrong? What really happens between pressing Send and seeing the first words appear?
Teach Me Like I Am Eight: Artificial Intelligence answers these questions with everyday examples, clear diagrams and plain words — then gives you the real technical terms, so you can follow the news, use AI tools wisely and hold your own in a conversation with an expert.
This is not a children’s book. It is written for adults and older teens who are new to AI and want the real ideas without the jargon. No maths or coding needed.
Grounded in real research and real cases — from lawyers who filed court cases an AI had invented to studies of how people over-trust AI suggestions — with sources listed at the back, plus a glossary of more than 100 terms.
Printed in full colour. Big ideas. Simple words. Visual explanations.
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verkäufers L2-9798175052955
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Taschenbuch. Zustand: Neu. Neuware - Complex ideas, explained as simply as if you were eight.How does a computer learn from examples Why can a chatbot sound so sure when it is wrong What really happens between pressing Send and seeing the first words appear Teach Me Like I Am Eight: Artificial Intelligence answers these questions with everyday examples, clear diagrams and plain words - then gives you the real technical terms, so you can follow the news, use AI tools wisely and hold your own in a conversation with an expert.This is not a children's book. It is written for adults and older teens who are new to AI and want the real ideas without the jargon. No maths or coding needed.Inside, in 34 short chapters: - How machines learn - data, patterns, probability, training and what a model really is- Brain-inspired machines - neurons, layers and deep learning- How AI handles language - tokens, embeddings, attention and transformers- How chatbots are built - large language models, pretraining and teaching a model to be helpful- Why AI gets things wrong - hallucinations, bias, and why AI does not think like you- AI that sees, hears and creates - computer vision, sound and generative AI- Making AI more useful - search, tools and agents- Using AI wisely - testing, human oversight, strengths, limits and the futureEvery chapter follows the same simple path: - An everyday example to start- A picture that builds the idea- The real technical words, and where they are used- A common misunderstanding, cleared up- A one-minute challenge, with answersGrounded in real research and real cases - from lawyers who filed court cases an AI had invented to studies of how people over-trust AI suggestions - with sources listed at the back, plus a glossary of more than 100 terms.Printed in full colour. Big ideas. Simple words. Visual explanations. Bestandsnummer des Verkäufers 9798175052955
Anzahl: 2 verfügbar