Demystifying the PIP Process PDF Download

Author: Mj Blake
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0

View

Book Description
Are you new to the Personal Independence Payment (PIP) process and feeling overwhelmed by its complexities? Look no further!"Demystifying the PIP Process: A Simplified Guide to Understanding and Applying for Beginners" is here to help.In this comprehensive and accessible guide, we break down the PIP process into manageable steps, providing you with the knowledge and practical advice you need to navigate the application with confidence. Designed specifically for individuals with little to no prior knowledge of PIP, this book simplifies the jargon and explains key concepts using plain language.With real-life examples, expert advice, and easy-to-understand explanations, this guide empowers you to take control of your PIP journey. Whether you're applying for yourself or assisting someone in need, this book will serve as your trusted companion, providing you with the tools and knowledge to navigate the process confidently.Don't let the complexities of the PIP process hold you back. Start your journey towards accessing the support you deserve today with "Demystifying the PIP Process: A Simplified Guide to Understanding and Applying for Beginners."Take the first step towards a clearer understanding of PIP and a brighter future. Get your copy now!

Author: Sean Sullivan
Publisher: Packt Publishing Ltd
ISBN: 1803231017
Category : Computers
Languages : en
Pages : 314

View

Book Description
Explore Ansible Automation Platform and understand how the different pieces interact to standardize and scale automation Key FeaturesCurated by a senior consultant at Red Hat with real-world examples to maximize use of Ansible Automation PlatformUse roles and modules to create interactive playbooks in Ansible Automation PlatformDiscover best practices for simplifying management of Ansible Automation PlatformBook Description While you can use any automation software to simplify task automation, scaling automation to suit your growing business needs becomes difficult using only a command-line tool. Ansible Automation Platform standardizes how automation is deployed, initiated, delegated, and audited, and this comprehensive guide shows you how you can simplify and scale its management. The book starts by taking you through the ways to get Ansible Automation Platform installed, their pros and cons, and the initial configuration. You'll learn about each object in the platform, how it interacts with other objects, as well as best practices for defining and managing objects to save time. You'll see how to maintain the created pieces with infrastructure as code. As you advance, you'll monitor workflows with CI/CD playbooks and understand how Ansible Automation Platform integrates with many other services such as GitLab and GitHub. By the end of this book, you'll have worked through real-world examples to make the most of the platform while learning how to manipulate, manage, and deploy any playbook to Ansible Automation Platform. What you will learnGet the hang of different parts of Ansible Automation Platform and their maintenanceBack up and restore an installation of Ansible Automation PlatformLaunch and configure basic and advanced workflows and jobsCreate your own execution environment using CI/CD pipelinesInteract with Git, Red Hat Authentication Server, and logging servicesIntegrate the Automation controller with services catalogUse Automation Mesh to scale Automation ControllerWho this book is for This book is for IT administrators, DevOps engineers, cloud engineers, and automation engineers seeking to understand and maintain the controller part of Ansible Automation Platform. If you have basic knowledge of Ansible, can set up a virtual machine, or have OpenShift experience, and want to know more about scaling Ansible, this book is for you.

Author: James Chen
Publisher: James Chen
ISBN: 1738908461
Category : Computers
Languages : en
Pages : 300

View

Book Description
This book is a comprehensive guide aiming to demystify the world of transformers -- the architecture that powers Large Language Models (LLMs) like GPT and BERT. From PyTorch basics and mathematical foundations to implementing a Transformer from scratch, you'll gain a deep understanding of the inner workings of these models. That's just the beginning. Get ready to dive into the realm of pre-training your own Transformer from scratch, unlocking the power of transfer learning to fine-tune LLMs for your specific use cases, exploring advanced techniques like PEFT (Prompting for Efficient Fine-Tuning) and LoRA (Low-Rank Adaptation) for fine-tuning, as well as RLHF (Reinforcement Learning with Human Feedback) for detoxifying LLMs to make them aligned with human values and ethical norms. Step into the deployment of LLMs, delivering these state-of-the-art language models into the real-world, whether integrating them into cloud platforms or optimizing them for edge devices, this section ensures you're equipped with the know-how to bring your AI solutions to life. Whether you're a seasoned AI practitioner, a data scientist, or a curious developer eager to advance your knowledge on the powerful LLMs, this book is your ultimate guide to mastering these cutting-edge models. By translating convoluted concepts into understandable explanations and offering a practical hands-on approach, this treasure trove of knowledge is invaluable to both aspiring beginners and seasoned professionals. Table of Contents 1. INTRODUCTION 1.1 What is AI, ML, DL, Generative AI and Large Language Model 1.2 Lifecycle of Large Language Models 1.3 Whom This Book Is For 1.4 How This Book Is Organized 1.5 Source Code and Resources 2. PYTORCH BASICS AND MATH FUNDAMENTALS 2.1 Tensor and Vector 2.2 Tensor and Matrix 2.3 Dot Product 2.4 Softmax 2.5 Cross Entropy 2.6 GPU Support 2.7 Linear Transformation 2.8 Embedding 2.9 Neural Network 2.10 Bigram and N-gram Models 2.11 Greedy, Random Sampling and Beam 2.12 Rank of Matrices 2.13 Singular Value Decomposition (SVD) 2.14 Conclusion 3. TRANSFORMER 3.1 Dataset and Tokenization 3.2 Embedding 3.3 Positional Encoding 3.4 Layer Normalization 3.5 Feed Forward 3.6 Scaled Dot-Product Attention 3.7 Mask 3.8 Multi-Head Attention 3.9 Encoder Layer and Encoder 3.10 Decoder Layer and Decoder 3.11 Transformer 3.12 Training 3.13 Inference 3.14 Conclusion 4. PRE-TRAINING 4.1 Machine Translation 4.2 Dataset and Tokenization 4.3 Load Data in Batch 4.4 Pre-Training nn.Transformer Model 4.5 Inference 4.6 Popular Large Language Models 4.7 Computational Resources 4.8 Prompt Engineering and In-context Learning (ICL) 4.9 Prompt Engineering on FLAN-T5 4.10 Pipelines 4.11 Conclusion 5. FINE-TUNING 5.1 Fine-Tuning 5.2 Parameter Efficient Fine-tuning (PEFT) 5.3 Low-Rank Adaptation (LoRA) 5.4 Adapter 5.5 Prompt Tuning 5.6 Evaluation 5.7 Reinforcement Learning 5.8 Reinforcement Learning Human Feedback (RLHF) 5.9 Implementation of RLHF 5.10 Conclusion 6. DEPLOYMENT OF LLMS 6.1 Challenges and Considerations 6.2 Pre-Deployment Optimization 6.3 Security and Privacy 6.4 Deployment Architectures 6.5 Scalability and Load Balancing 6.6 Compliance and Ethics Review 6.7 Model Versioning and Updates 6.8 LLM-Powered Applications 6.9 Vector Database 6.10 LangChain 6.11 Chatbot, Example of LLM-Powered Application 6.12 WebUI, Example of LLM-Power Application 6.13 Future Trends and Challenges 6.14 Conclusion REFERENCES ABOUT THE AUTHOR

Author: Tammy Noergaard
Publisher: Elsevier
ISBN: 0080951856
Category : Computers
Languages : en
Pages : 409

View

Book Description
This practical technical guide to embedded middleware implementation offers a coherent framework that guides readers through all the key concepts necessary to gain an understanding of this broad topic. It integrates big picture theoretical discussion with down-to-earth advice on successful real-world use via step-by-step examples of each type of middleware implementation. It demystifies core middleware, such as networking protocols, file systems, virtual machines, and databases; more complex middleware that builds upon generic pieces, such as MOM, ORB, and RPC; and integrated middleware software packages, such as embedded JVMs, .NET, and CORBA packages. Technically detailed case studies bring it all together, by providing insight into typical engineering situations readers are likely to encounter. * The only complete guide to middleware, one of the most important AND most widely misunderstood aspects of embedded systems - hundreds of devices, from digital TVs to smart phones, can't function without it! * Offers thorough middleware coverage, including basic theory and core middleware, as well as complex implementations and integrated packages * Detailed case studies, real-world examples, hundreds of diagrams, and a free CD-ROM provide context and aid understanding of embedded middleware

Author: Jason C McDonald
Publisher: No Starch Press
ISBN: 1718500920
Category : Computers
Languages : en
Pages : 754

View

Book Description
The complete core language for existing programmers. Dead Simple Python is a thorough introduction to every feature of the Python language for programmers who are impatient to write production code. Instead of revisiting elementary computer science topics, you’ll dive deep into idiomatic Python patterns so you can write professional Python programs in no time. After speeding through Python’s basic syntax and setting up a complete programming environment, you’ll learn to work with Python’s dynamic data typing, its support for both functional and object-oriented programming techniques, special features like generator expressions, and advanced topics like concurrency. You’ll also learn how to package, distribute, debug, and test your Python project. Master how to: Make Python's dynamic typing work for you to produce cleaner, more adaptive code. Harness advanced iteration techniques to structure and process your data. Design classes and functions that work without unwanted surprises or arbitrary constraints. Use multiple inheritance and introspection to write classes that work intuitively. Improve your code's responsiveness and performance with asynchrony, concurrency, and parallelism. Structure your Python project for production-grade testing and distribution The most pedantically pythonic primer ever printed, Dead Simple Python will take you from working with the absolute basics to coding applications worthy of publication.

Author: Keith Jack
Publisher: Newnes
ISBN: 0750678224
Category : Business & Economics
Languages : en
Pages : 954

View

Book Description
This international bestseller and essential reference is the "bible" for digital video engineers and programmers worldwide. This is by far the most informative analog and digital video reference available, includes the hottest new trends and cutting-edge developments in the field.Video Demystified, Fourth Edition is a "one stop" reference guide for the various digital video technologies. The fourth edition is completely updated with all new chapters on MPEG-4, H.264, SDTV/HDTV, ATSC/DVB, and Streaming Video (Video over DSL, Ethernet, etc.), as well as discussions of the latest standards throughout. The accompanying CD-ROM is updated to include a unique set of video test files in the newest formats.

Author: Frances Ryan
Publisher: Verso Books
ISBN: 1788739566
Category : Social Science
Languages : en
Pages : 257

View

Book Description
The austerity crisis and threat to disability rights. New updated edition includes the impact of COVID on Britain's 14 million disabled people. In austerity Britain, disabled people have been recast as worthless scroungers. From social care to the benefits system, politicians and the media alike have made the case that Britain’s 12 million disabled people are nothing but a drain on the public purse. In Crippled, journalist and campaigner Frances Ryan exposes the disturbing reality, telling the stories of those most affected by this devastating regime. It is at once both a damning indictment of a safety net so compromised it strangles many of those it catches and a passionate demand for an end to austerity, which hits hardest those most in need.

Author: Joanne Quinn
Publisher: Corwin Press
ISBN: 1544385404
Category : Education
Languages : en
Pages : 297

View

Book Description
The leading experts in system change and learning, with their school-based partners around the world, have created this essential companion to their runaway best-seller, Deep Learning: Engage the World Change the World. This hands-on guide provides a roadmap for building capacity in teachers, schools, districts, and systems to design deep learning, measure progress, and assess conditions needed to activate and sustain innovation. Dive Into Deep Learning: Tools for Engagement is rich with resources educators need to construct and drive meaningful deep learning experiences in order to develop the kind of mindset and know-how that is crucial to becoming a problem-solving change agent in our global society. Designed in full color, this easy-to-use guide is loaded with tools, tips, protocols, and real-world examples. It includes: • A framework for deep learning that provides a pathway to develop the six global competencies needed to flourish in a complex world — character, citizenship, collaboration, communication, creativity, and critical thinking. • Learning progressions to help educators analyze student work and measure progress. • Learning design rubrics, templates and examples for incorporating the four elements of learning design: learning partnerships, pedagogical practices, learning environments, and leveraging digital. • Conditions rubrics, teacher self-assessment tools, and planning guides to help educators build, mobilize, and sustain deep learning in schools and districts. Learn about, improve, and expand your world of learning. Put the joy back into learning for students and adults alike. Dive into deep learning to create learning experiences that give purpose, unleash student potential, and transform not only learning, but life itself.

Author: Matthew Lamons
Publisher: Packt Publishing Ltd
ISBN: 1789134757
Category : Computers
Languages : en
Pages : 465

View

Book Description
Insightful projects to master deep learning and neural network architectures using Python and Keras Key FeaturesExplore deep learning across computer vision, natural language processing (NLP), and image processingDiscover best practices for the training of deep neural networks and their deploymentAccess popular deep learning models as well as widely used neural network architecturesBook Description Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier. Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You’ll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system. Similarly, you’ll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you’ll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects. By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way What you will learnSet up a deep learning development environment on Amazon Web Services (AWS)Apply GPU-powered instances as well as the deep learning AMIImplement seq-to-seq networks for modeling natural language processing (NLP)Develop an end-to-end speech recognition systemBuild a system for pixel-wise semantic labeling of an imageCreate a system that generates images and their regionsWho this book is for Python Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects. It is assumed that you have sound knowledge of Python programming

Author: Matt Wallaert
Publisher: Penguin
ISBN: 0525534423
Category : Business & Economics
Languages : en
Pages : 258

View

Book Description
Nudge meets Hooked in a practical approach to designing products and services that change behavior, from what we buy to how we work. Deciding what to create at modern companies often looks like an episode of Mad Men: people throw ideas around until one sounds sexy enough to execute and then they scale it to everyone. The result? Companies overspend on marketing to drive engagement with products and services that people don't want and won't help them be happier and healthier. Start at the End offers a new framework for design, grounded in behavioral science. Technology executive and behavioral scientist Matt Wallaert argues that the purpose of everything is behavior change. By starting with outcomes instead of processes, the most effective companies understand what people want to do and why they aren't already doing it, then build products and services to bridge the gap. Wallaert is a behavioral psychologist who has led product design at organizations ranging from startups like Clover Health to industry leaders such as Microsoft. Whether dissecting the success behind Uber's ridesharing service or Flamin' Hot Cheetos, he underscores with clarity and humor how this approach can improve the way we work and live. This is an essential roadmap for building products that matter--and changing behavior for the better.