Mastering Generative Ai And Llms

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Mastering Generative Ai Theory Techniques And Real World Applications

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Author : Dr. Mamatha B
language : en
Publisher: NC Publishers
Release Date : 2025-04-15

Mastering Generative Ai Theory Techniques And Real World Applications written by Dr. Mamatha B and has been published by NC Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-15 with Computers categories.

Mastering Generative AI is a comprehensive textbook covering the theory, techniques, and real-world applications of generative models like GANs and transformers. It blends foundational concepts with practical coding exercises and ethical insights, making it ideal for students, researchers, and professionals in AI, data science, and related fields.

Ai Unraveled Master Gpt X Gemini Generative Ai Llms Prompt Engineering A Simplified Guide For Everyday Users

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Author : Etienne Noumen
language : en
Publisher: Etienne Noumen
Release Date :

Ai Unraveled Master Gpt X Gemini Generative Ai Llms Prompt Engineering A Simplified Guide For Everyday Users written by Etienne Noumen and has been published by Etienne Noumen this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Dive into the revolutionary world of Artificial Intelligence with 'AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence'. This comprehensive guide is your portal to understanding AI's most intricate concepts and cutting-edge developments. Whether you're a curious beginner or an AI enthusiast, this book is tailored to unveil the complexities of AI in a simple, accessible manner. What's Inside: Fundamental AI Concepts: Journey through the basics of AI, machine learning, deep learning, and neural networks. AI in Action: Explore how AI is reshaping industries and society, diving into its applications in computer vision, natural language processing, and beyond. Ethical AI: Tackle critical issues like AI ethics and bias, understanding the moral implications of AI advancements. Industry Insights: Gain insights into how AI is revolutionizing industries and impacting our daily lives. The Future of AI: Forecast the exciting possibilities and challenges that lie ahead in the AI landscape. Special Focus on Generative AI & LLMs: Latest AI Trends: Stay updated with the latest in AI, including ChatGPT, Google Gemini, GPT-x, Gemini, and more. Interactive Quizzes: Test your knowledge with engaging quizzes on Generative AI and Large Language Models (LLMs). Practical Guides: Master GPT-x with a simplified guide, delve into advanced prompt engineering, and explore the nuances of temperature settings in AI. Real-World Applications: Learn how to leverage AI in various sectors, from healthcare to cybersecurity, and even explore its potential in areas like aging research and brain implants. For the AI Enthusiast: Prompt Engineering: Uncover secrets to crafting effective prompts for ChatGPT/Google Gemini. AI Career Insights: Explore lucrative career paths in AI, including roles like AI Prompt Engineers. AI Investment Guide: Navigate the world of AI stocks and investment opportunities. For AI Developers: How to develop AI-powered apps effectively? Generative AI Technology Stack Overview – A Comprehensive Guide Your Guide to Navigating AI: Do-It-Yourself Tutorials: From building custom ChatGPT applications to running LLMs locally, this book offers step-by-step guides. AI for Everyday Use: Learn how AI can assist in weight loss, social media, and more. 'AI Unraveled' is more than just a book; it's a resource for anyone looking to grasp the complexities of AI and its impact on our world. Get ready to embark on an enlightening journey into the realm of Artificial Intelligence!" More Topics Covered: Artificial Intelligence, Machine Learning, Deep Learning, NLP, AI Ethics, Robotics, Cognitive Computing, ChatGPT, OpenAI, Google Gemini, Generative AI, LLMs, AI in Healthcare, AI Investments, and much more. GPT-x vs Gemini: Pros and Cons Mastering GPT-x: Simplified Guide For everyday Users Advance Prompt Engineering Techniques: [Single Prompt Technique, Zero-Shot and Few-Shot, Zero-Shot and Few-Shot, Generated Knowledge Prompting, EmotionPrompt, Chain of Density (CoD), Chain of Thought (CoT), Validation of LLMs Responses, Chain of Verification (CoVe), Agents - The Frontier of Prompt Engineering, Prompt Chaining vs Agents, Tree of Thought (ToT), ReAct (Reasoning + Act), ReWOO (Reasoning WithOut Observation), Reflexion and Self-Reflection, Guardrails, RAIL (Reliable AI Markup Language), Guardrails AI, NeMo Guardrails] Understanding Temperature in GPT-x: A Guide to AI Probability and Creativity Retrieval-Augmented Generation (RAG) model in the context of Large Language Models (LLMs) like GPT-x Prompt Ideas for ChatGPT/Google Gemini How to Run ChatGPT-like LLMs Locally on Your Computer in 3 Easy Steps ChatGPT Custom Instructions Settings for Power Users Examples of bad and good ChatGPT prompts Top 5 Beginner Mistakes in Prompt Engineering Use ChatGPT like a PRO Prompt template for learning any skill Prompt Engineering for ChatGPT The Future of LLMs in Search What is Explainable AI? Which industries are meant for XAI? ChatGPT Best Tips, Cheat Sheet LLMs Utilize Vector DB for Data Storage The Limitation Technique in Prompt Responses Use ChatGPT to learn new subjects Prompts to proofread anything How to Create a Specialized LLM That Understands Your Custom Data Topics: Artificial Intelligence Education Machine Learning Deep Learning Reinforcement Learning Neural networks Data science AI ethics Deepmind Robotics Natural language processing Intelligent agents Cognitive computing AI Apps AI impact AI Tech ChatGPT Open AI Safe AI Generative AI Discriminative AI Sam Altman Google Gemini NVDIA Large Language Models (LLMs) PALM GPT Explainable AI GPUs AI Stocks AI Podcast Q* AI Certification AI Quiz RAG Context Windows Tokens Ai Agents How to access the AI Unraveled: Djamgatech: https://djamgatech.com/product/ai-unraveled-demystifying-frequently-asked-questions-on-artificial-intelligence-paperback-print-book Google eBook: https://play.google.com/store/books/details?id=oySuEAAAQBAJ Apple eBook: https://books.apple.com/us/book/id6445730691 Etsy: https://www.etsy.com/ca/listing/1617575707/ai-unraveled-demystifying-frequently Audible at Amazon : https://www.audible.com/pd/B0BXMJ7FK5/?source_code=AUDFPWS0223189MWT-BK-ACX0-343437&ref=acx_bty_BK_ACX0_343437_rh_us (Use Promo code: 37YT3B5UYUYZW) Audiobook at Google: https://play.google.com/store/audiobooks/details?id=AQAAAEAihFTEZM

Mastering Generative Ai And Llms

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Author : Guillaume Lessard
language : en
Publisher: iD01t Productions
Release Date : 2024-12-15

Mastering Generative Ai And Llms written by Guillaume Lessard and has been published by iD01t Productions this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-15 with Computers categories.

Mastering Generative AI and LLMs: The Definitive Guide to Transformative Technologies By Guillaume Lessard Unlock the full potential of Generative AI and Large Language Models (LLMs) with this comprehensive and practical guide. Mastering Generative AI and LLMs takes you on an in-depth journey into the cutting-edge world of artificial intelligence, from foundational concepts to advanced applications. Whether you are a developer, researcher, entrepreneur, or enthusiast, this book offers everything you need to understand, build, and implement AI-powered solutions. Learn how to harness the creative power of Generative AI to transform industries, solve complex problems, and create groundbreaking innovations. What You’ll Learn The Evolution of AI: Discover how neural networks, machine learning, and deep learning paved the way for Generative AI breakthroughs. Core Technologies Behind LLMs: Understand tokenization, attention mechanisms, and the transformative impact of architectures like GPT and BERT. Building Generative Models: A hands-on approach to creating models like GANs, training with high-quality datasets, and optimizing for real-world use. Advanced Customizations: Explore techniques like Transfer Learning, Reinforcement Learning with Human Feedback (RLHF), and integrating external knowledge to enhance LLMs. Open-Source Tools: Leverage open-source models such as GPT-Neo and Stable Diffusion to power your AI projects. Real-World Applications Learn how Generative AI is revolutionizing industries: Healthcare: Accelerate drug discovery with AI-generated molecular structures. Retail: Automate product descriptions and create personalized shopping experiences. Entertainment: Craft scripts, visual effects, and content tailored to user preferences. Hands-On Projects Dive into practical exercises, including: Building a conversational chatbot using GPT-4 APIs. Fine-tuning Stable Diffusion to generate custom art. Deploying generative models on the cloud with platforms like AWS. Why This Book? Packed with detailed case studies, technical explanations, and ethical considerations, this book is more than a technical manual—it’s a roadmap for shaping the future of AI responsibly. Guillaume Lessard combines expertise with accessibility, making advanced AI concepts approachable for all audiences. Step into the future of AI innovation. Mastering Generative AI and LLMs is your ultimate guide to unlocking the transformative power of artificial intelligence. Available Now!

Mastering Llm Applications With Langchain And Hugging Face

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Author : Hunaidkhan Pathan
language : en
Publisher: BPB Publications
Release Date : 2024-09-21

Mastering Llm Applications With Langchain And Hugging Face written by Hunaidkhan Pathan and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-21 with Computers categories.

DESCRIPTION The book is all about the basics of NLP, generative AI, and their specific component LLM. In this book, we have provided conceptual knowledge about different terminologies and concepts of NLP and NLG with practical hands-on. This comprehensive book offers a deep dive into the world of NLP and LLMs. Starting with the fundamentals of Python programming and code editors, the book gradually introduces NLP concepts, including text preprocessing, word embeddings, and transformer architectures. You will explore the architecture and capabilities of popular models like GPT-3 and BERT. The book also covers practical aspects of LLM usage for RAG applications using frameworks like LangChain and Hugging Face and deploying them in real world applications. With a focus on both theoretical knowledge and hands-on experience, this book is ideal for anyone looking to master the art of NLP and LLMs. The book also contains AWS Cloud deployment, which will help readers step into the world of cloud computing. As the book contains both theoretical and practical approaches, it will help the readers to gain confidence in the deployment of LLMs for any use cases, as well as get acquainted with the required generative AI knowledge to crack the interviews. KEY FEATURES ● Covers Python basics, NLP concepts, and terminologies, including LLM and RAG concepts. ● Provides exposure to LangChain, Hugging Face ecosystem, and chatbot creation using custom data. ● Guides on integrating chatbots with real-time applications and deploying them on AWS Cloud. WHAT YOU WILL LEARN ● Basics of Python, which contains Python concepts, installation, and code editors. ● Foundation of NLP and generative AI concepts and different terminologies being used in NLP and generative AI domain. ● LLMs and their importance in the cutting edge of AI. ● Creating chatbots using custom data using open source LLMs without spending a single penny. ● Integration of chatbots with real-world applications like Telegram. WHO THIS BOOK IS FOR This book is ideal for beginners and freshers entering the AI or ML field, as well as those at an intermediate level looking to deepen their understanding of generative AI, LLMs, and cloud deployment. TABLE OF CONTENTS 1. Introduction to Python and Code Editors 2. Installation of Python, Required Packages, and Code Editors 3. Ways to Run Python Scripts 4. Introduction to NLP and its Concepts 5. Introduction to Large Language Models 6. Introduction of LangChain, Usage and Importance 7. Introduction of Hugging Face, its Usage and Importance 8. Creating Chatbots Using Custom Data with LangChain and Hugging Face Hub 9. Hyperparameter Tuning and Fine Tuning Pre-Trained Models 10. Integrating LLMs into Real-World Applications–Case Studies 11. Deploying LLMs in Cloud Environments for Scalability 12. Future Directions: Advances in LLMs and Beyond Appendix A: Useful Tips for Efficient LLM Experimentation Appendix B: Resources and References

Generative Ai And Llms

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Author : S. Balasubramaniam
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-09-23

Generative Ai And Llms written by S. Balasubramaniam and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Computers categories.

Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.

Mastering Nlp From Foundations To Llms

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Author : Lior Gazit
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-26

Mastering Nlp From Foundations To Llms written by Lior Gazit and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.

Enhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key Features Learn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPT Master embedding techniques and machine learning principles for real-world applications Understand the mathematical foundations of NLP and deep learning designs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learn Master the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in Python Model and classify text using traditional machine learning and deep learning methods Understand the theory and design of LLMs and their implementation for various applications in AI Explore NLP insights, trends, and expert opinions on its future direction and potential Who this book is for This book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.

Deep Learning For Coders With Fastai And Pytorch

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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29

Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Mastering Ai

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Author : Jeremy Kahn
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-08

Mastering Ai written by Jeremy Kahn and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Business & Economics categories.

A Fortune magazine journalist draws on his expertise and extensive contacts among the companies and scientists at the forefront of artificial intelligence to offer dramatic predictions of AI’s impact over the next decade, from reshaping our economy and the way we work, learn, and create to unknitting our social fabric, jeopardizing our democracy, and fundamentally altering the way we think. Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will revamp education, meaning children around the world can have personal, portable tutors. It will revolutionize health care, making individualized, targeted pharmaceuticals more affordable. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow. AI will provoke pervasive, disruptive, potentially devastating knock-on effects. Leveraging his unrivaled access to the leaders, scientists, futurists, and others who are making AI a reality, Kahn will argue that if not carefully designed and vigilantly regulated AI will deepen income inequality, depressing wages while imposing winner-take-all markets across much of the economy. AI risks undermining democracy, as truth is overtaken by misinformation, racial bias, and harmful stereotypes. Continuing a process begun by the internet, AI will rewire our brains, likely inhibiting our ability to think critically, to remember, and even to get along with one another—unless we all take decisive action to prevent this from happening. Much as Michael Lewis’s classic The New New Thing offered a prescient, insightful, and eminently readable account of life inside the dot-com bubble, Mastering AI delivers much-needed guidance for anyone eager to understand the AI boom—and what comes next.

Mastering Microsoft Dynamics 365 Business Central

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Author : Stefano Demiliani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-19

Mastering Microsoft Dynamics 365 Business Central written by Stefano Demiliani and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.

Utilize Microsoft Dynamics 365 Business Central's most recent capabilities to create bespoke business management solutions using best practices learned along the way from veterans in the industry. Purchase of the print or Kindle book includes a free PDF eBook Key Features Extend Business Central's functionalities through Azure, Power Platform, GitHub, and custom extensions Unlock the potential of data exchange and functionality expansion by integrating with external systems using APIs and OData Build reliable, maintainable, and continuously improving solutions while writing performant, well-structured code and using telemetries and DevOps Book DescriptionThis book dives straight into guiding you through the process of building real-world solutions with the AL language and Visual Studio Code. It emphasizes best practices and extensibility patterns to ensure your extensions are well-structured, maintainable, and meet the needs of modern businesses. You'll learn advanced AL techniques, report creation methods, debugging strategies, and how to leverage telemetries for monitoring. Additionally, it covers performance optimization practices and API integration to help you create efficient and interconnected solutions. With a focus on extension development, this new edition allows you to jump right into coding without spending time on setup processes. This book introduces new chapters covering essential tasks that Business Central developers frequently encounter, such as file handling and printing management. Finally, the book expands its scope by including chapters on various integration aspects, including VS Code extensions, GitHub DevOps, Azure services, and Power Platform integrations. We’ll wrap up by covering Copilot capabilities in Business Central and how you can create your own generative AI copilots. By mastering these concepts and techniques, you'll be well-equipped to create powerful and customized solutions that extend the capabilities of Dynamics 365 Business Central.What you will learn Developing a customized solution for Dynamics 365 Business Central Writing performant code following extensibility patterns Handling reporting, files, and printing on a cloud environment Handling Business Central telemetries with Azure Writing APIs and integrations for Dynamics 365 Business Central Applying DevOps and CI/CD to development projects by using GitHub Integrating Business Central with Power Platform Publishing your solutions to AppSource marketplace Manage Copilot capabilities and create your own generative AI copilot Who this book is for This book is intended for new developers who want to get started with Dynamics 365 Business Central. Professionals with expertise will also benefit from this book by enhancing their knowledge and comprehension of Dynamics 365 Business Central development platform and best practices

The Pmm S Prompt Playbook

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Author : David E. Sweenor
language : en
Publisher: TinyTechMedia LLC
Release Date : 2025-02-18

The Pmm S Prompt Playbook written by David E. Sweenor and has been published by TinyTechMedia LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Business & Economics categories.

Product marketers face mounting pressure to deliver more content, campaigns, and insights with limited time and resources. Unfortunately, most are using elementary prompts and struggle to incorporate generative AI into their daily workflows in ways that save time and drive impact. As a marketing leader with 20+ years in data and analytics, I've tested hundreds of AI workflows and have identified what actually works for B2B product marketing. The PMM’s Prompt Playbook: Mastering Generative AI for B2B Marketing Success distills that experience into practical workflows that help you better understand customer needs, build rich personas, analyze competitors, enable sales teams, and plan product launches. There are no theoretical discussions about AI potential—just proven prompt-driven workflows that cut research time, accelerate content creation, and improve marketing outcomes. Each chapter walks through specific workflows that are refined through real-world applications. You'll learn how to extract insights from customer feedback, create targeted content for different buyer personas, build compelling product narratives, and accelerate launch planning. This is a practical guide for working smarter. Want to analyze a competitor's positioning in minutes instead of hours? Need to generate targeted content for five different personas? Looking to speed up launch planning without sacrificing quality? The workflows in this playbook show you how. Written for busy product marketers who need proven solutions, this guide helps you deliver quick wins that drive real business impact. Every prompt and process has been tested and refined through hands-on experience in B2B technology marketing. Remember, it's not the tech that's tiny, just the book!™