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Let's Ask AI

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Release : 2021-07-03
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Kind : eBook
Book Rating : 061/5 ( reviews)

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Book Synopsis Let's Ask AI by : Ingrid Seabra

Download or read book Let's Ask AI written by Ingrid Seabra. This book was released on 2021-07-03. Available in PDF, EPUB and Kindle. Book excerpt: Let's Ask AI explores philosophical questions through the lens of Artificial Intelligence. The brilliance of AI answers questions from centuries-old philosophy questions, ranging from existentialism, ethics, life, God, and more recent ideas of qualia and singularity. By approaching this subject matter philosophically, Let's Ask AI is accessible to those without a technical background or an interest in technology. A collection of conversations between AI and the authors, this book will leave you asking more questions than ever before! This is the first edition of the Let's Ask AI series.

Let's Ask AI: A Non-Technical Modern Approach to AI and Philosophy

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Release : 2021-10-29
Genre : Computers
Kind : eBook
Book Rating : 108/5 ( reviews)

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Book Synopsis Let's Ask AI: A Non-Technical Modern Approach to AI and Philosophy by : Ingrid Seabra

Download or read book Let's Ask AI: A Non-Technical Modern Approach to AI and Philosophy written by Ingrid Seabra. This book was released on 2021-10-29. Available in PDF, EPUB and Kindle. Book excerpt: Let's Ask AI explores philosophical questions through the lens of Artificial Intelligence. The brilliance of AI answers questions from centuries-old philosophy questions, ranging from existentialism, ethics, life, God, and more recent ideas of qualia and singularity. By approaching this subject matter philosophically, Let's Ask AI is accessible to those without a technical background or an interest in technology. This book features a series of questions that philosophers have been asking themselves for centuries, such as: "What is the purpose of existence?" or "Is there such a thing as free will?". In this book, you will explore these questions (among many) through a series of questions posed by the author to A.I. and its responses. A collection of conversations between AI and the authors, this book will leave you asking more questions than ever before! This is the first edition of the Let's Ask AI series.

AI-Assisted Programming for Web and Machine Learning

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Release : 2024-08-30
Genre : Computers
Kind : eBook
Book Rating : 897/5 ( reviews)

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Book Synopsis AI-Assisted Programming for Web and Machine Learning by : Christoffer Noring

Download or read book AI-Assisted Programming for Web and Machine Learning written by Christoffer Noring. This book was released on 2024-08-30. Available in PDF, EPUB and Kindle. Book excerpt: Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models Purchase of the print or Kindle book includes a free PDF copy Key Features Utilize prompts to enhance frontend and backend web development Develop prompt strategies to build robust machine learning models Use GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applications Book DescriptionAI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks. Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.What you will learn Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT Use an AI-assisted approach across the development lifecycle Implement prompt engineering techniques in the data science lifecycle Develop the frontend and backend of a web application with AI assistance Build machine learning models with GitHub Copilot and ChatGPT Refactor code and fix faults for better efficiency and readability Improve your codebase with rich documentation and enhanced workflows Who this book is for Experienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker than traditional methods. This book is ideal for software engineers working on web or machine learning projects. It is also a useful resource for web developers, data scientists, and analysts who want to improve their efficiency with the help of prompting. This book does not teach web development or how different machine learning models work.

AI

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Release : 2024-02-23
Genre : Computers
Kind : eBook
Book Rating : 912/5 ( reviews)

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Book Synopsis AI by : Roman V. Yampolskiy

Download or read book AI written by Roman V. Yampolskiy. This book was released on 2024-02-23. Available in PDF, EPUB and Kindle. Book excerpt: Delving into the deeply enigmatic nature of Artificial Intelligence (AI), AI: Unexplainable, Unpredictable, Uncontrollable explores the various reasons why the field is so challenging. Written by one of the founders of the field of AI safety, this book addresses some of the most fascinating questions facing humanity, including the nature of intelligence, consciousness, values and knowledge. Moving from a broad introduction to the core problems, such as the unpredictability of AI outcomes or the difficulty in explaining AI decisions, this book arrives at more complex questions of ownership and control, conducting an in-depth analysis of potential hazards and unintentional consequences. The book then concludes with philosophical and existential considerations, probing into questions of AI personhood, consciousness, and the distinction between human intelligence and artificial general intelligence (AGI). Bridging the gap between technical intricacies and philosophical musings, AI: Unexplainable, Unpredictable, Uncontrollable appeals to both AI experts and enthusiasts looking for a comprehensive understanding of the field, whilst also being written for a general audience with minimal technical jargon.

AI 2041

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Release : 2021-09-14
Genre : Social Science
Kind : eBook
Book Rating : 29X/5 ( reviews)

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Book Synopsis AI 2041 by : Kai-Fu Lee

Download or read book AI 2041 written by Kai-Fu Lee. This book was released on 2021-09-14. Available in PDF, EPUB and Kindle. Book excerpt: How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for “an invaluable and entertaining vision of the future” (Ray Dalio, #1 New York Times bestselling author of Principles). Named a best book of the year by The Wall Street Journal • The Washington Post • Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons. The result is a “dazzling” (The New York Times) book that “brims with intriguing insights” (Financial Times).

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