Since The Time Of The Transformers

This book examines over 4000 years of culture history of the related Nuu-chah-nulth, Ditidaht, and Makah peoples on western Vancouver Island and the Olympic Peninsula. Using data from the Toquaht Archaeological Project, McMillan challenges current ethnographic interpretations that show little or no change in these peoples’ culture. Instead, by combining historical evidence, recent archaeological data, and oral traditions he demonstrates conclusively that there were in fact extensive cultural changes and restructuring in these societies in the century following contact with Europeans.

This book examines over 4000 years of culture history of the related Nuu-chah-nulth, Ditidaht, and Makah peoples on western Vancouver Island and the Olympic Peninsula. Using data from the Toquaht Archaeological Project, McMillan challenges current ethnographic interpretations that show little or no change in these peoples’ culture. Instead, by combining historical evidence, recent archaeological data, and oral traditions he demonstrates conclusively that there were in fact extensive cultural changes and restructuring in these societies in the century following contact with Europeans.

In this collector's volume, the Autobots and their young friend Kenji must stand tall against the Decepticons in an interplanetary conflict! These classic stories are from the dawn of the Transformers, and this volume contains thrilling tales such as "The Great Transformer War" and "Fight! Super Robot Life-Form Transformers!"—plus an extensive art gallery! -- VIZ Media

An original Transformers novel series! In the Nevada desert a 12-year-old boy gets swept up in a thrilling adventure when he stumbles across two giant robots battling in the dust. The boy and a new Autobot friend set off to secure a secret bunker before the Decepticons can find it. But the robot they left behind is a Decepticon in disguise, and he tells Bumblebee and the other Autobots that the boy and his friend are up to no good. Will the truth be revealed in time?

Following the same format as the #1 New York Times Best-Selling Who Was? series, the What Is the Story of? series brings you the stories behind the most beloved characters of our time. "Autobots, Transform and Roll Out!" Drive along with some of the fiercest fighters ever in this biography of the Transformers that will have young readers ready to jump into action. Since the 1980s, the Transformers toy line has been defining the lives of children with its mighty heroes. But the Robots in Disguise have morphed into much more than just a toy line! This biography for young readers tells the incredible story of the tiny toys that became blockbuster movie stars, comic book heroes, and more. Ride along with Optimus Prime, Bumblebee, and Megatron as you learn the history of the Autobots, the Decepticons, and their legendary battles.

A cutting-edge, advanced level, exploration of optical sensing application in power transformers Optical Sensing in Power Transformers is filled with the critical information and knowledge on the optical techniques applied in power transformers, which are important and expensive components in the electric power system. Effective monitoring of systems has proven to decrease the transformer lifecycle cost and increase a high level of availability and reliability. It is commonly held that optical sensing techniques will play an increasingly significant role in online monitoring of power transformers. In this comprehensive text, the authors—noted experts on the topic—present a scholarly review of the various cutting-edge optical principles and methodologies adopted for online monitoring of power transformers. Grounded in the authors’ extensive research, the book examines optical techniques and high-voltage equipment testing and provides the foundation for further application, prototype, and manufacturing. The book explores the principles, installation, operation, condition detection, monitoring, and fault diagnosis of power transformers. This important text; Provides a current exploration of optical sensing application in power transformers Examines the critical balance and pros and cons of cost and quality of various optical condition monitoring techniques Presents a wide selection of techniques with appropriate technical background Extends the vision of condition monitoring testing and analysis Treats condition monitoring testing and analysis tools together in a coherent framework Written for researchers, technical research and development personnel, manufacturers, and frontline engineers, Optical Sensing in Power Transformers offers an up-to-date review of the most recent developments of optical sensing application in power transformers.

The definitive guide to LLMs, from architectures, pretraining, and fine-tuning to Retrieval Augmented Generation (RAG), multimodal Generative AI, risks, and implementations with ChatGPT Plus with GPT-4, Hugging Face, and Vertex AI Key Features Compare and contrast 20+ models (including GPT-4, BERT, and Llama 2) and multiple platforms and libraries to find the right solution for your project Apply RAG with LLMs using customized texts and embeddings Mitigate LLM risks, such as hallucinations, using moderation models and knowledge bases Purchase of the print or Kindle book includes a free eBook in PDF format Book DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learn Breakdown and understand the architectures of the Original Transformer, BERT, GPT models, T5, PaLM, ViT, CLIP, and DALL-E Fine-tune BERT, GPT, and PaLM 2 models Learn about different tokenizers and the best practices for preprocessing language data Pretrain a RoBERTa model from scratch Implement retrieval augmented generation and rules bases to mitigate hallucinations Visualize transformer model activity for deeper insights using BertViz, LIME, and SHAP Go in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4V Who this book is for This book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.

Recent catastrophic blackouts have exposed major vulnerabilities in the existing generation, transmission, and distribution systems of transformers widely used for energy transfer, measurement, protection, and signal coupling. As a result, the reliability of the entire power system is now uncertain, and many blame severe underinvestment, aging technology, and a conservative approach to innovation. Composed of contributions from noted industry experts around the world, Transformers: Analysis, Design, and Measurement offers invaluable information to help designers and users overcome these and other challenges associated with the design, construction, application, and analysis of transformers. This book is divided into three sections to address contemporary economic, design, diagnostic, and maintenance aspects associated with power, instrument, and high-frequency transformers. Topics covered include: Design considerations Capability to withstand short circuits Insulation problems Stray losses, screening, and local excessive heating hazard Shell type and superconducting transformers Links between design and maintenance Component-related diagnostics and reliability Economics of life-cycle cost, design review, and risk-management methods Parameter measurement and prediction This book is an essential tool for understanding and implementing solutions that will ensure improvements in the development, maintenance, and life-cycle management of optimized transformers. This will lead to enhanced safety and reliability and lower costs for the electrical supply. Illustrating the need for close cooperation between users and manufacturers of transformers, this book outlines ways to achieve man