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Author: Ian Khan
Publisher: John Wiley & Sons
ISBN: 1394243324
Category : Business & Economics
Languages : en
Pages : 485
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Book Description
Design and use generative AI prompts that get helpful and practical results In The Quick Guide to Prompt Engineering, renowned technology futurist, management consultant, and AI thought leader Ian Khan delivers a practical and insightful discussion on taking the first steps in understanding and learning how to use generative AI. In this concise and quick start guide, you will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, Google’s Bard, and more. In the book, you’ll explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases. You’ll also find thoughtful and illuminating case studies and hands-on exercises, as well as step-by-step guides, to get you up to speed on prompt engineering in no time at all. The book has been written for the non-technical user to take the first steps in the world of generative AI. Along with a helpful glossary of common terms, lists of useful additional reading and resources, and other resources, you’ll get: Explanations of the basics of generative artificial intelligence that help you to learn what’s going on under the hood of ChatGPT and other LLMs Stepwise guides to creating effective, efficient, and ethical prompts that help you get the most utility possible from these exciting new tools Strategies for generating text, images, video, voice, music, and other audio from various publicly available artificial intelligence tools Perfect for anyone with an interest in one of the newest and most practical technological advancements recently released to the public, The Quick Guide to Prompt Engineering is a must-read for tech enthusiasts, marketers, content creators, technical professionals, data experts, and anyone else expected to understand and use generative AI at work or at home. No previous experience is required.
Author: Ian Khan
Publisher: John Wiley & Sons
ISBN: 1394243324
Category : Business & Economics
Languages : en
Pages : 485
Get Book Here
Book Description
Design and use generative AI prompts that get helpful and practical results In The Quick Guide to Prompt Engineering, renowned technology futurist, management consultant, and AI thought leader Ian Khan delivers a practical and insightful discussion on taking the first steps in understanding and learning how to use generative AI. In this concise and quick start guide, you will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, Google’s Bard, and more. In the book, you’ll explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases. You’ll also find thoughtful and illuminating case studies and hands-on exercises, as well as step-by-step guides, to get you up to speed on prompt engineering in no time at all. The book has been written for the non-technical user to take the first steps in the world of generative AI. Along with a helpful glossary of common terms, lists of useful additional reading and resources, and other resources, you’ll get: Explanations of the basics of generative artificial intelligence that help you to learn what’s going on under the hood of ChatGPT and other LLMs Stepwise guides to creating effective, efficient, and ethical prompts that help you get the most utility possible from these exciting new tools Strategies for generating text, images, video, voice, music, and other audio from various publicly available artificial intelligence tools Perfect for anyone with an interest in one of the newest and most practical technological advancements recently released to the public, The Quick Guide to Prompt Engineering is a must-read for tech enthusiasts, marketers, content creators, technical professionals, data experts, and anyone else expected to understand and use generative AI at work or at home. No previous experience is required.
Author: Sinan Ozdemir
Publisher: Addison-Wesley Professional
ISBN: 013534655X
Category : Computers
Languages : en
Pages : 584
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Book Description
The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 3, and the GPT family are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. In Quick Start Guide to Large Language Models, Second Edition, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, and hands-on exercises. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, prompting, fine-tuning, performance, and much more. The resources on the companion website include sample datasets and up-to-date code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and GPT-3.5), Google (BERT, T5, and Gemini), X (Grok), Anthropic (the Claude family), Cohere (the Command family), and Meta (BART and the LLaMA family). Learn key concepts: pre-training, transfer learning, fine-tuning, attention, embeddings, tokenization, and more Use APIs and Python to fine-tune and customize LLMs for your requirements Build a complete neural/semantic information retrieval system and attach to conversational LLMs for building retrieval-augmented generation (RAG) chatbots and AI Agents Master advanced prompt engineering techniques like output structuring, chain-of-thought prompting, and semantic few-shot prompting Customize LLM embeddings to build a complete recommendation engine from scratch with user data that outperforms out-of-the-box embeddings from OpenAI Construct and fine-tune multimodal Transformer architectures from scratch using open-source LLMs and large visual datasets Align LLMs using Reinforcement Learning from Human and AI Feedback (RLHF/RLAIF) to build conversational agents from open models like Llama 3 and FLAN-T5 Deploy prompts and custom fine-tuned LLMs to the cloud with scalability and evaluation pipelines in mind Diagnose and optimize LLMs for speed, memory, and performance with quantization, probing, benchmarking, and evaluation frameworks "A refreshing and inspiring resource. Jam-packed with practical guidance and clear explanations that leave you smarter about this incredible new field." --Pete Huang, author of The Neuron Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: Anurag Jain
Publisher: Clever Fox Publishing
ISBN:
Category : Business & Economics
Languages : en
Pages : 284
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Book Description
Attention Aspiring Business Owners, Entrepreneurs, and Leaders: AI may not replace you, but someone using AI will. Don't get left behind! Are you ready to step into an AI-powered future? i) Ready to harness the power of Artificial Intelligence to 10x your growth? ii) Wondering how AI tools like CHATGPT can increase your productivity? iii) Seeking a proven playbook to integrate AI across Business functions like Market Research, Marketing, Sales, HR, Customer Support & more? iv) Looking for Actionable, AI-driven business templates tailored for your business as a Founder, Leader, or Aspiring Entrepreneur? v) Curious to learn about the practical application of AI to build a business from scratch and create wealth with limited resources? If you've nodded in agreement to any of the above, you're about to unlock the AI powerhouse within you. 10 Plug and Play AI Strategies for Entrepreneurs and Leaders: Crafted by a seasoned business expert, this playbook is your golden ticket to the AI-driven future. Strategically implement AI to skyrocket your growth. i) Unravel 10 proven strategies to Integrate AI into your Business. ii) Guaranteed to 10x your business and leadership impact. iii) Understand Best AI Tools, Prompt Engineering, Automation and more with AI. iv) Step-by-step playbook to Apply AI with 10 Live Examples of Launching different businesses like E-Commerce, D2C, Digital Marketing Agency, and more. v) AI handbook for Business Owners, Leaders, Entrepreneurs, and Students. BONUS: 10 ready-to-use AI-driven business launch templates! Who Needs this Book: Aspiring Entrepreneurs, Leaders, Career Professionals or Anyone aspiring to build their business or career with no prior experience. About the Author: Anurag Jain, a seasoned business leader, has spent over two decades building and consulting brands across diverse sectors like consumer, healthcare, e-commerce, fashion, travel, and tech. Click the BUY NOW button and gain proven guide on using AI to build or scale your business by 10x.
Author: David Guralnick
Publisher: Springer Nature
ISBN: 3031724305
Category :
Languages : en
Pages : 388
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Book Description
Author: João Paulo A. Almeida
Publisher: Springer Nature
ISBN: 3031485831
Category :
Languages : en
Pages : 220
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Book Description
Author: Amit Bahree
Publisher: Simon and Schuster
ISBN: 1638355762
Category : Computers
Languages : en
Pages : 462
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Book Description
Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show you how to get in on the action! Generative AI in Action is the comprehensive and concrete guide to generative AI you’ve been searching for. It introduces both AI’s fundamental principles and its practical applications in an enterprise context—from generating text and images for product catalogs and marketing campaigns, to technical reporting, and even writing software. Inside, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution. Inside Generative AI in Action you will find: • A practical overview of of generative AI applications • Architectural patterns, integration guidance, and best practices for generative AI • The latest techniques like RAG, prompt engineering, and multi-modality • The challenges and risks of generative AI like hallucinations and jailbreaks • How to integrate generative AI into your business and IT strategy Generative AI in Action is full of real-world use cases for generative AI, showing you where and how to start integrating this powerful technology into your products and workflows. You’ll benefit from tried-and-tested implementation advice, as well as application architectures to deploy GenAI in production at enterprise scale. About the technology In controlled environments, deep learning systems routinely surpass humans in reading comprehension, image recognition, and language understanding. Large Language Models (LLMs) can deliver similar results in text and image generation and predictive reasoning. Outside the lab, though, generative AI can both impress and fail spectacularly. So how do you get the results you want? Keep reading! About the book Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you’ll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You’ll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems. What's inside • Best practices for deploying Generative AI apps • Production-quality RAG • Adapting GenAI models to your specific domain About the reader For enterprise architects, developers, and data scientists interested in upgrading their architectures with generative AI. About the author Amit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft. The technical editor on this book was Wee Hyong Tok. Table of Contents Part 1 1 Introduction to generative AI 2 Introduction to large language models 3 Working through an API: Generating text 4 From pixels to pictures: Generating images 5 What else can AI generate? Part 2 6 Guide to prompt engineering 7 Retrieval-augmented generation: The secret weapon 8 Chatting with your data 9 Tailoring models with model adaptation and fine-tuning Part 3 10 Application architecture for generative AI apps 11 Scaling up: Best practices for production deployment 12 Evaluations and benchmarks 13 Guide to ethical GenAI: Principles, practices, and pitfalls A The book’s GitHub repository B Responsible AI tools
Author: Kamal I.M. Al-Malah
Publisher: McGraw Hill Professional
ISBN: 0071831282
Category : Computers
Languages : en
Pages : 386
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Book Description
"A practical, professional guide to MATLAB applications, numerical techniques, and scientific computing MATLAB Numerical Methods with Chemical Engineering Applications shows how to use MATLAB to model and simulate physical problems in the chemical engineering realm. This cookbook-style guide allows quick mastery of this important, powerful computational tool for engineers. Recipe-style presentation with every step needed toward the final solution algorithmically explained via MATLAB snapshots in parallel with the text Concise explanations of essential MATLAB commands, programming features, graphical capabilities, and desktop interface Written for MATLAB 7.11 (R2011a); can also be used with earlier (and later) versions of MATLAB Each chapter is a standalone entity covering a computational skill needed by engineers Includes end-of-chapter problems"--
Author: Jon Holt
Publisher:
ISBN: 9780993485718
Category : System design
Languages : en
Pages : 53
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Book Description
Author:
Publisher:
ISBN:
Category : Electronic data processing documentation
Languages : en
Pages : 228
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Book Description
Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 1000
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Book Description
