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This easy-to read book looks at the many ways in which diffusion bears on processes that involve dispersion, starting from the Brownian motion of molecules, covering the invasion of exotic plants, migration of populations, epidemics, and extending to the spreading of languages and ideas. Recently, there has been a growing interest in understanding migrations, diffusion and spreading outside the “hard” natural sciences of physics and chemistry, for example the spreading of plants introduced as a result of globalization. Another fascinating story is that of human migration in the distant past, i.e. the immigration of our ancestors who brought agriculture from the Near East, or the fast spread of the Palaeo-Indians into the Americas after the end of the Ice Age. Likewise, the spread of languages in the past, and even more so the current spread and retreat of languages will be described here in terms of diffusion. By understanding these principles, there is hope that some of the less common languages that are threatened by globalization can be saved. Another important implication discussed by the author concerns the outbreak of epidemics; these may be mitigated if we understand their spreading mechanism. Last but not least the spreading of ideas and innovations, a process which changes the world sometimes faster than we wish, can also be usefully described in this picture.
Nanoporous Materials for Molecule Separation and Conversion cover the topic with sections on nanoporous material synthesis and characterization, nanoporous materials for molecule separation, and nanoporous materials for energy storage and renewable energy. Typical nanoporous materials including carbon, zeolite, silica and metal-organic frameworks and their applications in molecule separation and energy related applications are covered. In addition, the fundamentals of molecule adsorption and molecule transport in nanoporous materials are also included, providing readers with a stronger understanding of the principles and topics covered. This is an important reference for anyone exploring nanoporous materials, including researchers and postgraduate students in materials science and chemical engineering. In addition, it is ideal for industry professionals working on a wide range of applications for nanoporous materials. - Outlines the fundamental principles of nanoporous materials design - Explores the application of nanoporous materials in important areas such as molecule separation and energy storage - Gives real-life examples of how nanoporous materials are used in a variety of industry sector
These stories rocket readers across the roof of the world on the new high-speed railway in Tibet, describe the tension between Indian farmers and the sacred elephants besieging their villages, and introduce them to a shaman whom some believe can cure the most serious depressions.
This third book in the GISDATA series focuses on the widespread use of geographical information systems GIS in European local government. The editors include a wide range of applications carried out by different professional groups, and offer the opportunity of studying the extent to which diffusion of innovations like GIS are sensitive to national issues such as cultural context, institutional setup and the availability of data.; The book answers key questions such as: what can be learnt from research on organizational behaviour in relation to technological innovation?; what are the classical features of the GIS diffusion process?; to what extent is the adoption and utilization of GIS facilitated - or impeded - by the organizational culture within which it takes place?; and what mechanisms can be applied to enhance the diffusion of GIS? The book covers aspects of diffusion in the following European countries: UK, France, Italy, Poland, Denmark, The Netherlands, Germany, Greece and Portugal.
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.