Artificial Intelligence: An Introduction to Big Ideas and their Development, Second Edition guides readers through the history and development of Artificial Intelligence (AI), from its early mathematical beginnings through to the exciting possibilities of its potential future applications. To make this journey as accessible as possible, the authors build their narrative around accounts of some of the more popular and well-known demonstrations of artificial intelligence, including Deep Blue, AlphaGo and even Texas Hold’em, followed by their historical background, so that AI can be seen as a natural development of the mathematics and Computer Science of AI. As the book proceeds, more technical descriptions are presented at a pace that should be suitable for all levels of readers, gradually building a broad and reasonably deep understanding and appreciation for the basic mathematics, physics, and computer science that is rapidly developing Artificial Intelligence as it is today. A Large Language Model (LLM) is essentially a giant artificial neural network (ANN) that can have trillions of parameters and perform accelerated self-supervised learning from data searched from the Internet using an improved Common Crawl search engine. LLMs takes an input text and predicts the next token, much like natural language processing (NLP), taking an input text and repeatedly predicting the next token or word by various means, such as Hidden Markov Models (HMM) and recurrent neural networks (RNN) and their associated algorithms. Entirely new chapters on large language models (LLMs), ChatGPT, and quantum computing.

Artificial Intelligence: An Introduction, 2E PDF

The list of books you might like