Llm Architectures A Comprehensive Guide Bert Bart Xlnet

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LLM Architectures - A Comprehensive Guide: BERT, BART, XLNET

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4./5 ( download)

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Book Synopsis LLM Architectures - A Comprehensive Guide: BERT, BART, XLNET by : Anand Vemula

Download or read book LLM Architectures - A Comprehensive Guide: BERT, BART, XLNET written by Anand Vemula and published by Anand Vemula. This book was released on with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Demystifying the Power of Large Language Models: A Guide for Everyone Large Language Models (LLMs) are revolutionizing the way we interact with machines and information. This comprehensive guide unveils the fascinating world of LLMs, guiding you from their fundamental concepts to their cutting-edge applications. Master the Basics: Explore the foundational architectures like Recurrent Neural Networks (RNNs) and Transformers that power LLMs. Gain a clear understanding of how these models process and understand language. Deep Dives into Pioneering Architectures: Delve into the specifics of BERT, BART, and XLNet, three groundbreaking LLM architectures. Learn about their unique pre-training techniques and how they tackle various natural language processing tasks. Unveiling the Champions: A Comparative Analysis: Discover how these leading LLM architectures stack up against each other. Explore performance benchmarks and uncover the strengths and weaknesses of each model to understand which one is best suited for your specific needs. Emerging Frontiers: Charting the Course for the Future: Explore the exciting trends shaping the future of LLMs. Learn about the quest for ever-larger models, the growing focus on training efficiency, and the development of specialized architectures for tasks like question answering and dialogue systems. This book is not just about technical details. It provides real-world case studies and use cases, showcasing how LLMs are transforming various industries, from content creation and customer service to healthcare and education. With clear explanations and a conversational tone, this guide is perfect for anyone who wants to understand the power of LLMs and their potential impact on our world. Whether you're a tech enthusiast, a student, or a professional curious about the future of AI, this book is your one-stop guide to demystifying Large Language Models.

Biomedical Natural Language Processing

Author : Kevin Bretonnel Cohen
Publisher : John Benjamins Publishing Company
ISBN 13 : 9027271062
Total Pages : 174 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Biomedical Natural Language Processing by : Kevin Bretonnel Cohen

Download or read book Biomedical Natural Language Processing written by Kevin Bretonnel Cohen and published by John Benjamins Publishing Company. This book was released on 2014-02-15 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Natural Language Processing is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but a clear introduction makes it accessible to readers from the fields of bioinformatics and computational biology, as well. The book is suitable as a reference, as well as a text for advanced courses in biomedical natural language processing and text mining.

Speech-to-Speech Translation

Author : Yutaka Kidawara
Publisher : Springer Nature
ISBN 13 : 9811505950
Total Pages : 103 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Speech-to-Speech Translation by : Yutaka Kidawara

Download or read book Speech-to-Speech Translation written by Yutaka Kidawara and published by Springer Nature. This book was released on 2019-11-22 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech synthesis. Speech-to-speech translation system (S2S) enables to break language barriers, i.e., communicate each other between any pair of person on the glove, which is one of extreme dreams of humankind. People, society, and economy connected by S2S will demonstrate explosive growth without exception. In 1986, Japan initiated basic research of S2S, then the idea spread world-wide and were explored deeply by researchers during three decades. Now, we see S2S application on smartphone/tablet around the world. Computational resources such as processors, memories, wireless communication accelerate this computation-intensive systems and accumulation of digital data of speech and language encourage recent approaches based on machine learning. Through field experiments after long research in laboratories, S2S systems are being well-developed and now ready to utilized in daily life. Unique chapter of this book is end-2-end evaluation by comparing system’s performance and human competence. The effectiveness of the system would be understood by the score of this evaluation. The book will end with one of the next focus of S2S will be technology of simultaneous interpretation for lecture, broadcast news and so on.

Natural Language Processing with Transformers, Revised Edition

Author : Lewis Tunstall
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098136764
Total Pages : 409 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Natural Language Processing with Transformers, Revised Edition by : Lewis Tunstall

Download or read book Natural Language Processing with Transformers, Revised Edition written by Lewis Tunstall and published by "O'Reilly Media, Inc.". This book was released on 2022-05-26 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments

The Reading Mind

Author : Daniel T. Willingham
Publisher : John Wiley & Sons
ISBN 13 : 111930136X
Total Pages : 203 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis The Reading Mind by : Daniel T. Willingham

Download or read book The Reading Mind written by Daniel T. Willingham and published by John Wiley & Sons. This book was released on 2017-04-10 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Map to the Magic of Reading Stop for a moment and wonder: what's happening in your brain right now—as you read this paragraph? How much do you know about the innumerable and amazing connections that your mind is making as you, in a flash, make sense of this request? Why does it matter? The Reading Mind is a brilliant, beautifully crafted, and accessible exploration of arguably life's most important skill: reading. Daniel T. Willingham, the bestselling author of Why Don't Students Like School?, offers a perspective that is rooted in contemporary cognitive research. He deftly describes the incredibly complex and nearly instantaneous series of events that occur from the moment a child sees a single letter to the time they finish reading. The Reading Mind explains the fascinating journey from seeing letters, then words, sentences, and so on, with the author highlighting each step along the way. This resource covers every aspect of reading, starting with two fundamental processes: reading by sight and reading by sound. It also addresses reading comprehension at all levels, from reading for understanding at early levels to inferring deeper meaning from texts and novels in high school. The author also considers the undeniable connection between reading and writing, as well as the important role of motivation as it relates to reading. Finally, as a cutting-edge researcher, Willingham tackles the intersection of our rapidly changing technology and its effects on learning to read and reading. Every teacher, reading specialist, literacy coach, and school administrator will find this book invaluable. Understanding the fascinating science behind the magic of reading is essential for every educator. Indeed, every "reader" will be captivated by the dynamic but invisible workings of their own minds.

Data Science on AWS

Author : Chris Fregly
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492079367
Total Pages : 524 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Science on AWS by : Chris Fregly

Download or read book Data Science on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2021-04-07 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

Transformer Condition Control

Author : Vasily Ya. Ushakov
Publisher : Springer Nature
ISBN 13 : 3030831981
Total Pages : 150 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Transformer Condition Control by : Vasily Ya. Ushakov

Download or read book Transformer Condition Control written by Vasily Ya. Ushakov and published by Springer Nature. This book was released on 2021-09-01 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to one of the main problems of modern electrical power engineering—power transformer diagnostics. The first three chapters discuss the fundamentals: The first chapter presents the physical reasons for power transformers’ failures and the technical and economic consequences of disruption of the normal operation. The second chapter reviews the standard technologies for monitoring the state of the high-voltage transformers. The third chapter tells about monitoring the condition of transformer windings based on the pulse method. The fourth chapter presents the technologies for transformer windings condition controlled by means of nanosecond pulses. The stages of improving the pulsed method based on a short probing pulse of the nanosecond range, the results of experiments on identifying the radial and axial displacements of the winding, studies of the effect of the duration and shape of the probing pulse on the sensitivity of the diagnostic procedure, and the stages of developing a mathematical as well as physical model of a power transformer are consistently presented.

Applied Artificial Intelligence

Author : Mariya Yao
Publisher :
ISBN 13 : 9780998289021
Total Pages : 246 pages
Book Rating : 4.2/5 (89 download)

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Book Synopsis Applied Artificial Intelligence by : Mariya Yao

Download or read book Applied Artificial Intelligence written by Mariya Yao and published by . This book was released on 2018-04-30 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.

Representation Learning for Natural Language Processing

Author : Zhiyuan Liu
Publisher : Springer Nature
ISBN 13 : 9811555737
Total Pages : 319 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu

Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

Automatic Item Generation

Author : Mark J. Gierl
Publisher : Routledge
ISBN 13 : 0415897505
Total Pages : 258 pages
Book Rating : 4.4/5 (158 download)

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Book Synopsis Automatic Item Generation by : Mark J. Gierl

Download or read book Automatic Item Generation written by Mark J. Gierl and published by Routledge. This book was released on 2013 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to bring researchers and practitioners up-to-date on the growing body of research on Automatic Item Generation by organizing in one volume what is currently known about this research area.

Machine Learning: ECML 2004

Author : Jean-Francois Boulicaut
Publisher : Springer
ISBN 13 : 3540301151
Total Pages : 597 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Machine Learning: ECML 2004 by : Jean-Francois Boulicaut

Download or read book Machine Learning: ECML 2004 written by Jean-Francois Boulicaut and published by Springer. This book was released on 2004-11-05 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of ECML/PKDD 2004 are published in two separate, albeit - tertwined,volumes:theProceedingsofthe 15thEuropeanConferenceonMac- ne Learning (LNAI 3201) and the Proceedings of the 8th European Conferences on Principles and Practice of Knowledge Discovery in Databases (LNAI 3202). The two conferences were co-located in Pisa, Tuscany, Italy during September 20–24, 2004. It was the fourth time in a row that ECML and PKDD were co-located. - ter the successful co-locations in Freiburg (2001), Helsinki (2002), and Cavtat- Dubrovnik (2003), it became clear that researchersstrongly supported the or- nization of a major scienti?c event about machine learning and data mining in Europe. We are happy to provide some statistics about the conferences. 581 di?erent papers were submitted to ECML/PKDD (about a 75% increase over 2003); 280 weresubmittedtoECML2004only,194weresubmittedtoPKDD2004only,and 107weresubmitted to both.Aroundhalfofthe authorsforsubmitted papersare from outside Europe, which is a clear indicator of the increasing attractiveness of ECML/PKDD. The Program Committee members were deeply involved in what turned out to be a highly competitive selection process. We assigned each paper to 3 - viewers, deciding on the appropriate PC for papers submitted to both ECML and PKDD. As a result, ECML PC members reviewed 312 papers and PKDD PC members reviewed 269 papers. We accepted for publication regular papers (45 for ECML 2004 and 39 for PKDD 2004) and short papers that were as- ciated with poster presentations (6 for ECML 2004 and 9 for PKDD 2004). The globalacceptance ratewas14.5%for regular papers(17% if we include the short papers).

High-Dimensional Data Analysis with Low-Dimensional Models

Author : John Wright
Publisher : Cambridge University Press
ISBN 13 : 1108805558
Total Pages : 718 pages
Book Rating : 4.1/5 (88 download)

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Book Synopsis High-Dimensional Data Analysis with Low-Dimensional Models by : John Wright

Download or read book High-Dimensional Data Analysis with Low-Dimensional Models written by John Wright and published by Cambridge University Press. This book was released on 2022-01-13 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional structures, and high-dimensional data. Foreword by Emmanuel Candès.

The Minimum Description Length Principle

Author : Peter D. Grünwald
Publisher : MIT Press
ISBN 13 : 0262072815
Total Pages : 736 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis The Minimum Description Length Principle by : Peter D. Grünwald

Download or read book The Minimum Description Length Principle written by Peter D. Grünwald and published by MIT Press. This book was released on 2007 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introduction to the MDL Principle provides a reference accessible to graduate students and researchers in statistics, pattern classification, machine learning, and data mining, to philosophers interested in the foundations of statistics, and to researchers in other applied sciences that involve model selection.

Validating RDF Data

Author : Jose Emilio Labra Gayo
Publisher : Springer Nature
ISBN 13 : 3031794788
Total Pages : 304 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Validating RDF Data by : Jose Emilio Labra Gayo

Download or read book Validating RDF Data written by Jose Emilio Labra Gayo and published by Springer Nature. This book was released on 2022-05-31 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: RDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad data differ across communities, fields, and tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use in day-to-day data exchange. The Semantic Web offers a bold, new take on how to organize, distribute, index, and share data. Using Web addresses (URIs) as identifiers for data elements enables the construction of distributed databases on a global scale. Like the Web, the Semantic Web is heralded as an information revolution, and also like the Web, it is encumbered by data quality issues. The quality of Semantic Web data is compromised by the lack of resources for data curation, for maintenance, and for developing globally applicable data models. At the enterprise scale, these problems have conventional solutions. Master data management provides an enterprise-wide vocabulary, while constraint languages capture and enforce data structures. Filling a need long recognized by Semantic Web users, shapes languages provide models and vocabularies for expressing such structural constraints. This book describes two technologies for RDF validation: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL), the rationales for their designs, a comparison of the two, and some example applications.

Speech and Computer

Author : Albert Ali Salah
Publisher : Springer
ISBN 13 : 3030260615
Total Pages : 580 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Speech and Computer by : Albert Ali Salah

Download or read book Speech and Computer written by Albert Ali Salah and published by Springer. This book was released on 2019-08-09 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 21st International Conference on Speech and Computer, SPECOM 2019, held in Istanbul, Turkey, in August 2019. The 57 papers presented were carefully reviewed and selected from 86 submissions. The papers present current research in the area of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics, speech synthesis, sign language and multimodal processing, and speech and language resources.

Developing the Curriculum

Author : William R. Gordon
Publisher :
ISBN 13 : 9780134800387
Total Pages : 290 pages
Book Rating : 4.8/5 (3 download)

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Book Synopsis Developing the Curriculum by : William R. Gordon

Download or read book Developing the Curriculum written by William R. Gordon and published by . This book was released on 2019 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Previous editions have Peter Oliva as only author.

Deep Learning for NLP and Speech Recognition

Author : Uday Kamath
Publisher : Springer
ISBN 13 : 3030145964
Total Pages : 621 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Deep Learning for NLP and Speech Recognition by : Uday Kamath

Download or read book Deep Learning for NLP and Speech Recognition written by Uday Kamath and published by Springer. This book was released on 2019-06-10 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.