Generative Ai For Beginners


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Hands-On Artificial Intelligence for Beginners


Hands-On Artificial Intelligence for Beginners

Author: Patrick D. Smith

language: en

Publisher: Packt Publishing Ltd

Release Date: 2018-10-31


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Grasp the fundamentals of Artificial Intelligence and build your own intelligent systems with ease Key FeaturesEnter the world of AI with the help of solid concepts and real-world use casesExplore AI components to build real-world automated intelligenceBecome well versed with machine learning and deep learning conceptsBook Description Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world. Hands-On Artificial Intelligence for Beginners will teach you what Artificial Intelligence is and how to design and build intelligent applications. This book will teach you to harness packages such as TensorFlow in order to create powerful AI systems. You will begin with reviewing the recent changes in AI and learning how artificial neural networks (ANNs) have enabled more intelligent AI. You'll explore feedforward, recurrent, convolutional, and generative neural networks (FFNNs, RNNs, CNNs, and GNNs), as well as reinforcement learning methods. In the concluding chapters, you'll learn how to implement these methods for a variety of tasks, such as generating text for chatbots, and playing board and video games. By the end of this book, you will be able to understand exactly what you need to consider when optimizing ANNs and how to deploy and maintain AI applications. What you will learnUse TensorFlow packages to create AI systemsBuild feedforward, convolutional, and recurrent neural networksImplement generative models for text generationBuild reinforcement learning algorithms to play gamesAssemble RNNs, CNNs, and decoders to create an intelligent assistantUtilize RNNs to predict stock market behaviorCreate and scale training pipelines and deployment architectures for AI systemsWho this book is for This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.

Generative AI for Beginners: Practical Guide to ChatGPT, Machine Learning, and AI Applications


Generative AI for Beginners: Practical Guide to ChatGPT, Machine Learning, and AI Applications

Author: Caleb Morgan Whitaker

language: en

Publisher: Gabriel Mensah

Release Date: 2025-07-07


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🤖 Learn Generative AI — From Zero to Real Projects with Confidence Curious about AI but overwhelmed by technical jargon? Generative AI for Beginners is your clear, hands‑on guide to mastering ChatGPT, neural networks, and practical AI applications—all explained in simple terms for non‑techies and aspiring creators. 🔍 What You’ll Learn & Build Generative AI Simplified Explore how models like GPT‑4, GANs, and VAEs generate text, images, and audio—without getting lost in mathematics. Source: Generative AI for Beginners: A Comprehensive Guide simplifies these concepts for novices. ChatGPT & Prompt Engineering Learn how to design prompts that elicit useful, high‑quality responses for writing, decision‑making, or brainstorming—just like top-rated beginner AI guides. Neural Networks Made Accessible Cover core machine learning ideas like backpropagation, supervised vs. unsupervised learning, and model training using intuitive, non-technical explanations . Practical AI Applications You Can Build Use guided mini‑projects—create a chatbot, prompt‑powered text generator, or image generator—using free and open‑source tools, and gain real hands‑on experience. Ethics & Future Opportunities Understand ethical considerations, bias issues, and emerging Web3/AI trends so you can build responsibly and stay ahead . 🎯 Why This Book Works Beginner-First, Jargon-Free – No prior experience required. Learn at your own pace, with bite‑sized chapters. Project-Based Learning – Each section builds a real AI tool, not just theory—similar to bestsellers that focus on application. Up‑to‑Date for 2025 – Covers current models like GPT‑4, open-source frameworks like Hugging Face, and modern AI applications. Balance of Theory & Practice – Unlike superficial overviews, this guide gives you both understanding and the means to create tangible AI projects. 💡 Your Gains in Action ✅Benefit. 🔥You’ll Be Able To… Understand AI Fundamentals. Clearly explain and use generative AI in daily tasks. Interact Smart with ChatGPT. Create prompts for writing, research, and business needs. Build Real Tools. Deploy your own chatbot, image generator, or text app. Upload & Use Ethical AI. Consider bias, consent, and best practices in your projects. Stay Ahead in AI Trends. Understand LLMs, neural nets, GANs, and future AI paths. 👤 Who Should Read This Beginners eager to start building AI without coding Professionals and students wanting a full AI foundation and skills Creatives and entrepreneurs looking to leverage AI tools in their projects Ready to build useful AI projects in real-time? Tap Add to Cart for Generative AI for Beginners—your step-by-step roadmap to mastering prompt engineering, neural networks, and real-world AI applications by just reading and doing.

ARTIFICIAL INTELLIGENCE & GENERATIVE AI FOR BEGINNERS


ARTIFICIAL INTELLIGENCE & GENERATIVE AI FOR BEGINNERS

Author: DAVID M. PATEL.

language: en

Publisher:

Release Date: 2023


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