New Paradigm of Attention and Attention Training: Mechanisms and Applications PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download New Paradigm of Attention and Attention Training: Mechanisms and Applications PDF full book. Access full book title New Paradigm of Attention and Attention Training: Mechanisms and Applications by Yi-Yuan Tang. Download full books in PDF and EPUB format.
Author: Yi-Yuan Tang
Publisher: Frontiers Media SA
ISBN: 2832507581
Category : Science
Languages : en
Pages : 233
Get Book Here
Book Description
Author: Yi-Yuan Tang
Publisher: Frontiers Media SA
ISBN: 2832507581
Category : Science
Languages : en
Pages : 233
Get Book Here
Book Description
Author: Carlos Rodriguez
Publisher: Packt Publishing Ltd
ISBN: 1835464912
Category : Computers
Languages : en
Pages : 190
Get Book Here
Book Description
Begin your generative AI journey with Python as you explore large language models, understand responsible generative AI practices, and apply your knowledge to real-world applications through guided tutorials Key Features Gain expertise in prompt engineering, LLM fine-tuning, and domain adaptation Use transformers-based LLMs and diffusion models to implement AI applications Discover strategies to optimize model performance, address ethical considerations, and build trust in AI systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe intricacies and breadth of generative AI (GenAI) and large language models can sometimes eclipse their practical application. It is pivotal to understand the foundational concepts needed to implement generative AI. This guide explains the core concepts behind -of-the-art generative models by combining theory and hands-on application. Generative AI Foundations in Python begins by laying a foundational understanding, presenting the fundamentals of generative LLMs and their historical evolution, while also setting the stage for deeper exploration. You’ll also understand how to apply generative LLMs in real-world applications. The book cuts through the complexity and offers actionable guidance on deploying and fine-tuning pre-trained language models with Python. Later, you’ll delve into topics such as task-specific fine-tuning, domain adaptation, prompt engineering, quantitative evaluation, and responsible AI, focusing on how to effectively and responsibly use generative LLMs. By the end of this book, you’ll be well-versed in applying generative AI capabilities to real-world problems, confidently navigating its enormous potential ethically and responsibly.What you will learn Discover the fundamentals of GenAI and its foundations in NLP Dissect foundational generative architectures including GANs, transformers, and diffusion models Find out how to fine-tune LLMs for specific NLP tasks Understand transfer learning and fine-tuning to facilitate domain adaptation, including fields such as finance Explore prompt engineering, including in-context learning, templatization, and rationalization through chain-of-thought and RAG Implement responsible practices with generative LLMs to minimize bias, toxicity, and other harmful outputs Who this book is for This book is for developers, data scientists, and machine learning engineers embarking on projects driven by generative AI. A general understanding of machine learning and deep learning, as well as some proficiency with Python, is expected.
Author: Manish Soni
Publisher:
ISBN:
Category : Study Aids
Languages : en
Pages : 305
Get Book Here
Book Description
"Deep Learning: A Comprehensive Guide," a book meticulously designed to cater to the needs of learners at various stages of their journey into the fascinating world of deep learning. Whether you are a beginner embarking on your first exploration into artificial intelligence or a seasoned professional looking to deepen your expertise, this book aims to be your trusted companion.
Author:
Publisher: Frontiers Media SA
ISBN: 2889666174
Category : Medical
Languages : en
Pages : 71
Get Book Here
Book Description
Author: Frederica Darema
Publisher: Springer Nature
ISBN: 3031279867
Category : Computers
Languages : en
Pages : 937
Get Book Here
Book Description
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).
Author: Soumi Dutta
Publisher: Springer Nature
ISBN: 3031657276
Category :
Languages : en
Pages : 434
Get Book Here
Book Description
Author: Kathleen D. Vohs
Publisher: Guilford Press
ISBN: 1462509517
Category : Psychology
Languages : en
Pages : 610
Get Book Here
Book Description
This authoritative handbook reviews the breadth of current knowledge on the conscious and nonconscious processes by which people regulate their thoughts, emotions, attention, behavior, and impulses. Individual differences in self-regulatory capacities are explored, as are developmental pathways. The volume examines how self-regulation shapes, and is shaped by, social relationships. Failures of self-regulation are also addressed, in chapters on addictions, overeating, compulsive spending, and attention-deficit/hyperactivity disorder. Wherever possible, contributors identify implications of the research for helping people enhance their self-regulatory capacities and pursue desired goals. New to This Edition: * Incorporates significant scientific advances and many new topics. * Increased attention to the social basis of self-regulation. * Chapters on working memory, construal-level theory, temptation, executive functioning in children, self-regulation in older adults, self-harming goal pursuit, interpersonal relationships, religion, and impulsivity as a personality trait.
Author: Xin Huang
Publisher: Frontiers Media SA
ISBN: 2832536107
Category : Science
Languages : en
Pages : 202
Get Book Here
Book Description
Author: Akshi Kumar
Publisher: John Wiley & Sons
ISBN: 1394297262
Category : Computers
Languages : en
Pages : 356
Get Book Here
Book Description
Thorough review of foundational concepts and advanced techniques in natural language processing (NLP) and its impact across sectors Supported by examples and case studies throughout, Language Intelligence provides an in-depth exploration of the latest advancements in natural language processing (NLP), offering a unique blend of insight on theoretical foundations, practical applications, and future directions in the field. Composed of 10 chapters, this book provides a thorough understanding of both foundational concepts and advanced techniques, starting with an overview of the historical development of NLP and essential mechanisms of Natural Language Understanding (NLU) and Natural Language Generation (NLG). It delves into the data landscape crucial for NLP, emphasizing ethical considerations, and equips readers with fundamental text processing techniques. The book also discusses linguistic features central to NLP and explores computational and cognitive approaches that enrich the field's advancement. Practical applications and advanced processing techniques across various sectors like healthcare, legal, finance, and education are showcased, along with a critical examination of NLP metrics and methods for evaluation. The appendices offer detailed explorations of text representation methods, advanced applications, and Python's NLP capabilities, aiming to inform, inspire, and ignite a passion for NLP in the ever-expanding digital universe. Written by a highly qualified academic with significant research experience in the field, Language Intelligence covers sample topics including: Fundamental text processing, covering text cleaning, sentence splitting, tokenization, lemmatization and stemming, stop-word removal, part-of-speech tagging, and parsing and syntactic analysis Computational and cognitive approaches, covering human-like reasoning, transfer learning, and learning with minimal examples Affective, psychological, and content analysis, covering sentiment analysis, emotion recognition, irony, humour, and sarcasm detection, and indicators of distress Multilingual natural language processing, covering translation and transliteration, cross-lingual models and embeddings, low-resource language processing, and cultural nuance and idiom recognition Language Intelligence is an ideal reference on the subject for professionals across sectors and graduate students in related programs of study who have a foundational understanding of computer science, linguistics, and artificial intelligence and are looking to delve deeper into the intricacies of NLP.
Author: M. Arif Wani
Publisher: Springer Nature
ISBN: 9811961530
Category : Technology & Engineering
Languages : en
Pages : 394
Get Book Here
Book Description
This book presents a compilation of extended versions of selected papers from 20th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2021). It focuses on deep learning networks and their applications in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments. It highlights novel ways of using deep neural networks to solve real-world problems, and also offers insights into deep learning architectures and algorithms, making it an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers. The book is fourth in the series published since 2017.
