Artificial Intelligence

"ChatGPT Unleashed: The Ultimate Guide to Crafting Powerful Prompts for Profit" is your go-to guide for creating compelling prompts that drive engagement, conversions, and sales.  With step-by-step instructions and practical examples, this guidebook will equip you with the tools and strategies you need to achieve your business goals using AI.

市面上的深度學習書要么晦澀難懂，要么是平台使用說明書，只講理論缺少實現或者只有編程缺少原理講解，都很難讓人理解深度學習的基本原理，本書採用理論講解與代碼實現的方式深入淺出地剖析了深度學習的技術原理和實現細節，教會讀者如何從零編寫一個深度學習庫。內容包含了：梯度下降法、回歸學習、前饋神經網絡、卷積神經網絡、循環神經網絡、生成網絡。

市場に出回っている深層学習の本は、あいまいで理解しにくいもの、またはプラットフォームの説明書であり、実装がなく理論だけが説明されているか、原理の説明がなくプログラミングだけが説明されているものであり、人々が深層学習の基本原理を理解することは困難です.この本では、理論的な説明とコードの実装を使用しています。この方法では、深層学習の技術原理と実装の詳細を簡単な方法で分析し、深層学習ライブラリをゼロから作成する方法を読者に教えています。コンテンツには、勾配降下法、回帰学習、フィードフォワード ニューラル ネットワーク、畳み込みニューラル ネットワーク、再帰型ニューラル ネットワーク、生成ネットワークが含まれます。

From machine learning to natural language processing, this book will guide you through the cutting-edge world of AI-powered data products. You'll learn how to harness the power of AI to create products that are smarter, faster, and more efficient than anything your competitors can dream of.

Talking about theory without implementation or only programming without principle explanations is difficult for people to understand the principles of deep learning. This book uses theoretical explanations and code implementations to explain the principles of deep learning and how to write a deep learning library from scratch.

This practical guide shows you how to harness ChatGPT and GPT-5 to boost productivity, create content, organize notes, and solve real-world problems efficiently.  Learn how to craft precise prompts, optimize responses, and apply AI ethically while avoiding common pitfalls like bias, repetitive outputs, and over-reliance. The book also covers the evolution of GPT models, the Transformer architecture, and essential techniques to maximize AI performance.  With hands-on examples, workflow integration tips, and insights into advanced AI tools, this guide empowers students, professionals, and hobbyists to confidently use AI in daily life.  Take control of AI, improve your efficiency, and explore new creative possibilities with this beginner-friendly, practical, and responsible guide to ChatGPT and GPT-5.  

Will AI replace you, or will you use AI to 10x yourself? Discover the secrets of Prompt Engineering and LangChain to build chatbots, summarization tools, and more. Get ready to revolutionize the way you approach AI development with this comprehensive guide.

Delve into "ChatGPT Made Simple: A Practical Guide for Everyday Users," written by ChatGPT itself, to unlock AI-assisted potential in daily tasks. Learn from real-life applications, tutorials, and tips to revolutionize writing, learning, and communication. Embrace ChatGPT as your reliable AI companion in the modern digital world.

Beyond practical applications, the McGinty Equation underscores the beauty and elegance of physics, demonstrating how theoretical concepts can be used to solve complex problems and uncover new truths about the universe. Its potential applications extend beyond quantum mechanics and into other fields, such as biology, finance, and computer science.

Discover the groundbreaking technology behind one of the most advanced language models in the world with "Introduction to ChatGPT." This ebook provides a comprehensive overview of OpenAI's ChatGPT, its capabilities, and its impact on the field of natural language processing.

AI is emerging as a powerful tool that can unlock new insights and improve operational efficiencies.

AI is emerging as a powerful tool that can unlock new insights and improve operational efficiencies.

This book introduces you to the 42 most commonly used machine learning algorithms in an understandable way.

The author explains what is a perceptron with two layers and the backpropagation method to train the network. It is included a program in python.

En este trabajo se muestran las bases del entranamiento de una red perceptrón multicapas, aplicado al caso de una red que hace las veces de una función exor. Se ha usado programación en Python.