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Advanced Hugging Face Techniques


Advanced Hugging Face Techniques
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Advanced Hugging Face Techniques


Advanced Hugging Face Techniques
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Author : Gordon Lago
language : en
Publisher: Independently Published
Release Date : 2025-09-20

Advanced Hugging Face Techniques written by Gordon Lago and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-20 with Computers categories.


Unlock the full potential of Hugging Face Transformers and take your AI projects to the next level. This advanced developer's guide is packed with hands-on code, real-world examples, and cutting-edge techniques that go far beyond the basics. Designed for developers, engineers, and technical practitioners, this book shows you how to build, optimize, and deploy production-ready AI systems using Hugging Face. Inside, you'll learn how to: Fine-tune large models with LoRA, QLoRA, and parameter-efficient training Build multi-modal models that handle text, vision, and speech together Implement Retrieval-Augmented Generation (RAG) with FAISS, Pinecone, Weaviate, and Qdrant Optimize inference with quantization, distillation, and Hugging Face Optimum Deploy scalable models using FastAPI, Docker, Ray Serve, and Kubernetes Integrate Hugging Face with real-world workflows, APIs, and enterprise applications Apply advanced prompting, alignment, and evaluation techniques to control outputs responsibly This isn't a beginner's overview; it's a deep dive for developers who want to move beyond toy projects and into scalable, production-grade AI systems. Each chapter is filled with practical, ready-to-run examples in Python that you can adapt directly to your own use cases. Whether you're working on enterprise NLP pipelines, RAG systems, speech-to-text applications, or multi-agent AI integrations, this book gives you the advanced Hugging Face skills you need to deliver high-performance, real-world AI solutions. If you've been searching for a Hugging Face tutorial for developers, a practical guide to multi-modal models, or a roadmap for deploying production-ready Transformers, this is the book you've been waiting for. Code rich, example driven, and future focused, this is the advanced Hugging Face guide developers have been asking for



Generative Ai From Beginner To Paid Professional Part 2


Generative Ai From Beginner To Paid Professional Part 2
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Author : Bolakale Aremu
language : en
Publisher: AB Publisher LLC
Release Date : 2024-11-09

Generative Ai From Beginner To Paid Professional Part 2 written by Bolakale Aremu and has been published by AB Publisher LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-09 with Computers categories.


Unlock the Future of Generative AI and Skyrocket Your Career. This book is your comprehensive roadmap from grasping the fundamentals of AI to mastering the tools and techniques that will set you apart in today’s AI-driven world. Perfect for anyone serious about a career in AI, this book bridges the gap between knowledge and action, giving you the tools to earn, build, and innovate with generative AI technologies. Whether you’re building your first AI project or refining your professional skills, this is the guide you’ve been waiting for. Packed with hands-on projects and practical exercises, this book empowers you to build and launch your very own generative AI solutions. By the end, you’ll not only be equipped with in-demand AI skills but also be prepared to launch your AI projects in the real world. Welcome to Generative AI from Beginner to Paid Professional, Part 2: Master Prompt Design, Gemini Multimodal in Vertex AI Studio, LangChain, Launching & Deploying Generative AI Projects. In Part 2 of this transformative guide, you'll delve deep into powerful AI frameworks and cutting-edge technologies, including Gemini Multimodal, Vertex AI Studio, and LangChain, gaining the expertise needed to design custom AI solutions and deploy scalable AI projects. Whether you’re an aspiring professional or a seasoned developer, this book is your step-by-step companion to navigating the evolving landscape of generative AI. What You’ll Learn: 1. Master Prompt Design: Craft perfect prompts that make your AI work for you, no matter the use case. 2. Gemini Multimodal & Vertex AI Studio: Learn to integrate multimodal models into your AI pipeline, revolutionizing how you build intelligent systems that understand and generate both text and images. 3. LangChain for Real-World AI Projects: Leverage LangChain to create robust, API-powered workflows that bring your AI projects to life. 4. Launching & Deploying AI Projects: From conceptualization to deployment, turn your AI ideas into real-world applications with proven strategies.



Generative Ai From Beginner To Paid Professional Part 3


Generative Ai From Beginner To Paid Professional Part 3
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Author : Bolakale Aremu
language : en
Publisher: AB Publisher LLC
Release Date : 2024-11-19

Generative Ai From Beginner To Paid Professional Part 3 written by Bolakale Aremu and has been published by AB Publisher LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Computers categories.


Dive deep into the world of Hugging Face and unlock the tools you need to create, fine-tune, and deploy state-of-the-art AI models. Part 3 of the Generative AI from Beginner to Paid Professional series is your complete guide to mastering Hugging Face’s powerful ecosystem through practical projects and real-world applications. This book takes you beyond the basics, providing hands-on exercises and expert insights to help you leverage Hugging Face for NLP, vision tasks, and beyond. You'll not only learn to work with pretrained models but also gain the skills to customize and deploy AI solutions that solve real-world problems. What’s inside: > Practical Hands-On Learning: Master Hugging Face tools by building projects like text summarization, chatbots, and image classification. > Advanced Techniques: Learn fine-tuning, model optimization, and efficient inference for high-performance applications. > Real-World Deployments: Understand how to host models on Hugging Face Spaces and integrate them into pipelines with tools like LangChain. > Production-Ready Projects: Get step-by-step guidance on creating deployable AI solutions, from concept to implementation. By the end of this book, you’ll have the confidence and skills to design and deliver professional-grade AI solutions, whether for personal projects, freelance opportunities, or enterprise applications. Who this book is for: This guide is perfect for data scientists, AI enthusiasts, and developers eager to take their skills to the next level and monetize their knowledge. Whether you're a student or a professional, Part 3 will prepare you to build innovative solutions and thrive in the booming AI industry. Take the leap into AI mastery and start creating the future.



Deepseek Ai


Deepseek Ai
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Author : Bolakale Aremu
language : en
Publisher: AB Publisher LLC
Release Date : 2025-01-31

Deepseek Ai written by Bolakale Aremu and has been published by AB Publisher LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.


Unlock the Story Behind the $1 Trillion Stock Market Crash and the Rise of China’s AI Revolution This book dives deep into the rise of Deepseek AI, exploring how this underdog disrupted the AI race and exposed the vulnerabilities of America’s tech dominance. From its humble beginnings to its open-source release that democratized AI development, Deepseek’s story is a testament to innovation, efficiency, and the power of thinking outside the box. What You’ll Discover Inside: The Sputnik Moment of AI: How Deepseek’s success forced the U.S. to rethink its AI strategy and sparked fears of a new Cold War. The $6 Million Miracle: The shocking cost difference between Deepseek and ChatGPT—and what it means for the future of AI development. Open Source vs. Proprietary: Why Deepseek’s decision to release its codebase to the world is a game-changer for businesses, governments, and innovators everywhere. The Fall of Big Tech: How Deepseek’s rise led to the biggest single-day stock market drop in history and left Silicon Valley scrambling. The New Cold War: The geopolitical implications of China’s AI advancements and what it means for U.S.-China relations. What’s Next? Predictions for the future of AI, the role of cloud capital, and how companies like Deepseek are reshaping the global tech landscape. Why This Book Matters: Deepseek isn’t just a story about technology—it’s a wake-up call for the world. It challenges the notion that innovation requires billions of dollars and highlights how resourcefulness and creativity can outpace even the most well-funded competitors. Whether you’re a tech enthusiast, a business leader, or simply curious about the future of AI, this book offers a compelling look at how one company changed the rules of the game—and what it means for all of us. Praise for Deepseek: “A riveting account of how a small Chinese startup outmaneuvered Silicon Valley and reshaped the global AI race. A must-read for anyone interested in the future of technology and geopolitics.” Get Your Copy Today and Discover the Story Behind the AI Revolution That Changed the World!



Teaching Innovations In Economics


Teaching Innovations In Economics
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Author : María del Carmen Valls Martínez
language : en
Publisher: Springer Nature
Release Date : 2024-10-31

Teaching Innovations In Economics written by María del Carmen Valls Martínez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Business & Economics categories.


This book highlights the latest technological innovations in economics education. Economics, as a discipline, not only studies the relationship between ends and scarce means, which can be used alternatively, but also serves as a social science that uses historical data to predict future events—a task complicated by the influence of human behavior. In economics, a solid theoretical foundation alone is insufficient; practical application requires a deep understanding of statistics. With the vast amount of information available today, data processing is now performed using specialized software. Consequently, teaching economics demands a wide range of complex skills that have significantly evolved in recent years, driven by the growing interest in educational innovation among professors and scientists, further accelerated by advancements in new technologies. Moreover, economics education is increasingly aligned with the global concern for sustainability, as emphasized in the United Nations' Agenda 2030. Professors are now integrating sustainability into syllabi and teaching methodologies. This book covers key topics such as: Technological and innovative advancements in economics education. New teaching-learning theories and models in economics education. The impact of digital transformation on economics education. The role of artificial intelligence in economics education. Addressing special educational needs in economics education. Evaluation of the teaching-learning process in economics. Assessment of student learning in economics. Development of materials and tools for economics education. Final projects (Undergraduate and Master's) in economics. Authored by leading professors and researchers in the field, this book presents a collection of chapters that rigorously explore teaching innovations in economics.



Advanced Osint Strategies


Advanced Osint Strategies
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 2024

Advanced Osint Strategies written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Architecture categories.


Unlock the Power of Advanced OSINT Strategies Welcome to the "Advanced OSINT Strategies" book bundle – your ultimate guide to mastering Online Investigations and Intelligence Gathering. This comprehensive collection spans four volumes, each tailored to take you from a beginner's foundation to expert-level proficiency in the exciting world of open-source intelligence. 📘 BOOK 1 - Foundations of OSINT Mastery: A Beginner's Guide Discover the essentials of OSINT as you embark on this enlightening journey. Explore digital landscapes, decode digital footprints, and harness the vast range of open-source information. This volume equips you with internet search techniques, social media investigation skills, and the ability to analyze websites and extract valuable data. Ethics and privacy considerations are also emphasized to ensure responsible and ethical OSINT practices. 📘 BOOK 2 - Navigating the Digital Shadows: Intermediate OSINT Techniques Take your skills to the next level with advanced search queries, deep web and dark web investigations, and geospatial intelligence mastery. Dive deep into social media analysis, email tracing, and open-source analysis tools. This volume also guides you towards automating your OSINT workflows and becoming proficient in cyber threat intelligence. 📘 BOOK 3 - Advanced OSINT Arsenal: Expert-Level Intelligence Gathering Elevate your expertise with this advanced volume. Analyze cryptocurrencies and blockchain, exploit IoT devices for intelligence, and employ advanced data scraping and automation techniques. Real-world intelligence operations and the synergy of ethical hacking with OSINT are explored in depth, making you an expert in the field. 📘 BOOK 4 - Mastering OSINT Investigations: Cutting-Edge Strategies and Tools In the final volume, delve into cutting-edge strategies and tools that give you an edge in OSINT investigations. Explore the potential of big data, artificial intelligence, and quantum computing in OSINT. Navigate hidden markets and forums, track cryptocurrencies on the dark web, and master advanced geospatial analysis techniques. Complete your journey with IoT vulnerability assessment and data collection and analysis, equipping you with the latest tools and strategies. 🔍 Why Choose "Advanced OSINT Strategies"? · Comprehensive Learning: Master the entire spectrum of OSINT, from beginner to expert. · Real-World Skills: Gain practical knowledge and hands-on experience. · Ethical and Legal Focus: Understand the ethical and legal considerations in OSINT. · Cutting-Edge Insights: Stay updated with the latest tools and techniques. · Authoritative Content: Written by experts in the field. With "Advanced OSINT Strategies," you'll become a formidable force in the world of online investigations and intelligence gathering. Unlock the power of information, uncover hidden truths, and make informed decisions. Begin your journey to OSINT mastery today! 🔥 Get the entire bundle now and take your OSINT skills to the next level. Don't miss out on this opportunity to become an expert in Online Investigations and Intelligence Gathering.



Generative Ai With Amazon Bedrock


Generative Ai With Amazon Bedrock
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Author : Shikhar Kwatra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-31

Generative Ai With Amazon Bedrock written by Shikhar Kwatra 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 2024-07-31 with Computers categories.


Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards Key Features Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects Master the core techniques to develop and deploy several AI applications at scale Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You’ll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock. By the end of this book, you’ll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization.What you will learn Explore the generative AI landscape and foundation models in Amazon Bedrock Fine-tune generative models to improve their performance Explore several architecture patterns for different business use cases Gain insights into ethical AI practices, model governance, and risk mitigation strategies Enhance your skills in employing agents to develop intelligence and orchestrate tasks Monitor and understand metrics and Amazon Bedrock model response Explore various industrial use cases and architectures to solve real-world business problems using RAG Stay on top of architectural best practices and industry standards Who this book is for This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. A basic understanding of AWS APIs and core AWS services for machine learning is expected.



Pretrain Vision And Large Language Models In Python


Pretrain Vision And Large Language Models In Python
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Author : Emily Webber
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-31

Pretrain Vision And Large Language Models In Python written by Emily Webber 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 2023-05-31 with Computers categories.


Master the art of training vision and large language models with conceptual fundaments and industry-expert guidance. Learn about AWS services and design patterns, with relevant coding examples Key Features Learn to develop, train, tune, and apply foundation models with optimized end-to-end pipelines Explore large-scale distributed training for models and datasets with AWS and SageMaker examples Evaluate, deploy, and operationalize your custom models with bias detection and pipeline monitoring Book Description Foundation models have forever changed machine learning. From BERT to ChatGPT, CLIP to Stable Diffusion, when billions of parameters are combined with large datasets and hundreds to thousands of GPUs, the result is nothing short of record-breaking. The recommendations, advice, and code samples in this book will help you pretrain and fine-tune your own foundation models from scratch on AWS and Amazon SageMaker, while applying them to hundreds of use cases across your organization. With advice from seasoned AWS and machine learning expert Emily Webber, this book helps you learn everything you need to go from project ideation to dataset preparation, training, evaluation, and deployment for large language, vision, and multimodal models. With step-by-step explanations of essential concepts and practical examples, you'll go from mastering the concept of pretraining to preparing your dataset and model, configuring your environment, training, fine-tuning, evaluating, deploying, and optimizing your foundation models. You will learn how to apply the scaling laws to distributing your model and dataset over multiple GPUs, remove bias, achieve high throughput, and build deployment pipelines. By the end of this book, you'll be well equipped to embark on your own project to pretrain and fine-tune the foundation models of the future. What you will learn Find the right use cases and datasets for pretraining and fine-tuning Prepare for large-scale training with custom accelerators and GPUs Configure environments on AWS and SageMaker to maximize performance Select hyperparameters based on your model and constraints Distribute your model and dataset using many types of parallelism Avoid pitfalls with job restarts, intermittent health checks, and more Evaluate your model with quantitative and qualitative insights Deploy your models with runtime improvements and monitoring pipelines Who this book is for If you're a machine learning researcher or enthusiast who wants to start a foundation modelling project, this book is for you. Applied scientists, data scientists, machine learning engineers, solution architects, product managers, and students will all benefit from this book. Intermediate Python is a must, along with introductory concepts of cloud computing. A strong understanding of deep learning fundamentals is needed, while advanced topics will be explained. The content covers advanced machine learning and cloud techniques, explaining them in an actionable, easy-to-understand way.



Python Programming Basic To Advanced


Python Programming Basic To Advanced
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Author : Puja S. Gholap
language : en
Publisher: GRIN Verlag
Release Date : 2025-05-26

Python Programming Basic To Advanced written by Puja S. Gholap and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Computers categories.


Document from the year 2025 in the subject Engineering - Computer Engineering, grade: A, Savitribai Phule Pune University, formerly University of Pune (Savitribai Phule Pune University), course: B.E, language: English, abstract: Welcome to a comprehensive journey through the world of Python programming, a language that has revolutionized the field of computer science and continues to be a vital tool in various professional domains. This book, "Python Programming for All: Basic to Advanced," aims to empower readers like you with the knowledge and skills to harness the full potential of Python, no matter your starting point. Python's simplicity and versatility have made it one of the most beloved programming languages among both beginners and seasoned coders. Whether you are a student, a hobbyist, a professional coder, or even someone from a non-technical background looking to dip your toes into the world of programming, this book is for you. The book is structured to provide a gradual learning experience, starting from the very basics and gradually moving towards advanced concepts. In the early chapters, you will be introduced to the fundamental aspects of Python, such as syntax, data types, and control structures. As you progress, you will explore more complex topics like object-oriented programming, data structures, algorithms, and more. By the end, you will be equipped to use Python for a wide range of applications, from web development and data analysis to artificial intelligence and machine learning. Each chapter is designed with a balance of theory and practical examples, followed by exercises that reinforce learning. The book also includes useful tips and tricks, common pitfalls to avoid, and insights into how Python is used in the real world. The goal of "Python Programming for All: Basic to Advance" is not just to teach you Python, but also to instill a problem-solving mindset and coding best practices. This will enable you to not just understand Python, but also to think like a Python programmer. We hope that this book will ignite your passion for programming and open up new opportunities for you in the digital world. So, get ready to embark on a thrilling adventure into the world of Python programming!



Building Llms For Production


Building Llms For Production
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Author : Louis-François Bouchard
language : en
Publisher: Towards AI, Inc.
Release Date : 2024-05-21

Building Llms For Production written by Louis-François Bouchard and has been published by Towards AI, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-21 with Computers categories.


“This is the most comprehensive textbook to date on building LLM applications - all essential topics in an AI Engineer's toolkit." - Jerry Liu, Co-founder and CEO of LlamaIndex (THE BOOK WAS UPDATED ON OCTOBER 2024) With amazing feedback from industry leaders, this book is an end-to-end resource for anyone looking to enhance their skills or dive into the world of AI and develop their understanding of Generative AI and Large Language Models (LLMs). It explores various methods to adapt "foundational" LLMs to specific use cases with enhanced accuracy, reliability, and scalability. Written by over 10 people on our Team at Towards AI and curated by experts from Activeloop, LlamaIndex, Mila, and more, it is a roadmap to the tech stack of the future. The book aims to guide developers through creating LLM products ready for production, leveraging the potential of AI across various industries. It is tailored for readers with an intermediate knowledge of Python. What's Inside this 470-page Book (Updated October 2024)? - Hands-on Guide on LLMs, Prompting, Retrieval Augmented Generation (RAG) & Fine-tuning - Roadmap for Building Production-Ready Applications using LLMs - Fundamentals of LLM Theory - Simple-to-Advanced LLM Techniques & Frameworks - Code Projects with Real-World Applications - Colab Notebooks that you can run right away Community access and our own AI Tutor Table of Contents - Chapter I Introduction to Large Language Models - Chapter II LLM Architectures & Landscape - Chapter III LLMs in Practice - Chapter IV Introduction to Prompting - Chapter V Retrieval-Augmented Generation - Chapter VI Introduction to LangChain & LlamaIndex - Chapter VII Prompting with LangChain - Chapter VIII Indexes, Retrievers, and Data Preparation - Chapter IX Advanced RAG - Chapter X Agents - Chapter XI Fine-Tuning - Chapter XII Deployment and Optimization Whether you're looking to enhance your skills or dive into the world of AI for the first time as a programmer or software student, our book is for you. From the basics of LLMs to mastering fine-tuning and RAG for scalable, reliable AI applications, we guide you every step of the way.