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Explaining AI presents a comprehensive and accessible overview of the inner workings of artificial intelligence without assuming any knowledge of mathematics or software. Machine learning is explained from first principles in a readable style, followed by a description of the core neural network algorithm that is powering many of the latest and most impressive AI demonstrations. These foundations are built on to illuminate in detail the mechanisms underpinning the seemingly magical generative techniques that produce photorealistic images from prompts and the Large Language Models (LLMs) forming the basis of chatbots like ChatGPT.
The general methods by which AI systems are constructed are discussed, the decisions that need to be taken and the use cases to which the technology can be applied. Whether you are a manager of an AI team looking for more insight into the machine learning development process or are just curious as to how these systems work, then this is the book for you.
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