Download or read book The Datasets that Shaped LaMDA written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-06-10 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the power of language with LaMDA, Google's groundbreaking conversational AI! This comprehensive guide delves into the fascinating world of LaMDA's training data, the very foundation that fuels its ability to engage in natural and nuanced conversations. Dive deep into the vast ocean of text and code that shapes LaMDA's understanding, exploring the role of books, articles, web text, and even code in equipping LaMDA with the tools to navigate human communication. Uncover the secrets behind LaMDA's mastery of back-and-forth conversation. Discover how dialogue datasets brimming with real-world conversations, interviews, and chats teach LaMDA the art of turn-taking, understanding context, and responding with emotional intelligence. But the journey doesn't stop there. Explore the potential for bias within training data and the ongoing efforts to ensure fairness and inclusivity in LaMDA's responses. Peer into the inner workings of LaMDA with a focus on the art of context. See how LaMDA analyzes preceding words and phrases to build a mental model of the conversation, grasps the subtle cues of emotional tone and sarcasm, and dis disambiguates ambiguous situations to arrive at the most likely interpretation. Witness LaMDA's surprising ability to generate creative text formats, from poems and code to scripts, fueled by its analysis of vast amounts of creative writing styles. This exploration wouldn't be complete without addressing the crucial challenge of bias. Unearth the potential for bias present in training data and the ethical considerations surrounding it. Learn about the multifaceted approach employed to address bias, including curating diverse datasets, utilizing debiasing techniques, and prioritizing transparency and explainability in LaMDA's development. Finally, gaze into the future with LaMDA. Witness how continuous learning with new data allows LaMDA to refine its capabilities and stay up-to-date. Explore the importance of transparency and explainability (XAI) techniques in building trust and fostering a collaborative human-AI partnership. Uncover the vast potential applications of LaMDA in education, customer service, scientific research, and creative exploration. This comprehensive guide empowers you to understand LaMDA, the conversational AI poised to transform the way we interact with technology and access information. Embark on this journey of discovery and unlock the potential of language learning alongside LaMDA!

Download or read book Machine Learning for Factor Investing written by Guillaume Coqueret and published by CRC Press. This book was released on 2023-08-08 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: a detailed presentation of the key machine learning tools use in finance a large scale coding tutorial with easily reproducible examples realistic applications on a large publicly available dataset all the key ingredients to perform a full portfolio backtest

Download or read book Large Language Models written by Uday Kamath and published by Springer Nature. This book was released on 2024 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMs -- their intricate architecture, underlying algorithms, and ethical considerations -- require thorough exploration, creating a need for a comprehensive book on this subject. This book provides an authoritative exploration of the design, training, evolution, and application of LLMs. It begins with an overview of pre-trained language models and Transformer architectures, laying the groundwork for understanding prompt-based learning techniques. Next, it dives into methods for fine-tuning LLMs, integrating reinforcement learning for value alignment, and the convergence of LLMs with computer vision, robotics, and speech processing. The book strongly emphasizes practical applications, detailing real-world use cases such as conversational chatbots, retrieval-augmented generation (RAG), and code generation. These examples are carefully chosen to illustrate the diverse and impactful ways LLMs are being applied in various industries and scenarios. Readers will gain insights into operationalizing and deploying LLMs, from implementing modern tools and libraries to addressing challenges like bias and ethical implications. The book also introduces the cutting-edge realm of multimodal LLMs that can process audio, images, video, and robotic inputs. With hands-on tutorials for applying LLMs to natural language tasks, this thorough guide equips readers with both theoretical knowledge and practical skills for leveraging the full potential of large language models. This comprehensive resource is appropriate for a wide audience: students, researchers and academics in AI or NLP, practicing data scientists, and anyone looking to grasp the essence and intricacies of LLMs.

Download or read book Computer Vision ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-11-01 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Download or read book Deep Learning with TensorFlow and Keras written by Amita Kapoor and published by Packt Publishing Ltd. This book was released on 2022-10-06 with total page 699 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build cutting edge machine and deep learning systems for the lab, production, and mobile devices Key FeaturesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesImplement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and contrastive learningLearn cutting-edge machine and deep learning techniquesBook Description Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments. This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML. What you will learnLearn how to use the popular GNNs with TensorFlow to carry out graph mining tasksDiscover the world of transformers, from pretraining to fine-tuning to evaluating themApply self-supervised learning to natural language processing, computer vision, and audio signal processingCombine probabilistic and deep learning models using TensorFlow ProbabilityTrain your models on the cloud and put TF to work in real environmentsBuild machine learning and deep learning systems with TensorFlow 2.x and the Keras APIWho this book is for This hands-on machine learning book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and practice required to use Keras, TensorFlow, and AutoML to build machine learning systems. Some machine learning knowledge would be useful. We don't assume TF knowledge.

Download or read book Advances in Artificial Intelligence and Applied Cognitive Computing written by Hamid R. Arabnia and published by Springer Nature. This book was released on 2021-10-14 with total page 1152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).

Download or read book Machine Learning and Cybernetics written by Xizhao Wang and published by Springer. This book was released on 2014-12-04 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Cybernetics, Lanzhou, China, in July 2014. The 45 revised full papers presented were carefully reviewed and selected from 421 submissions. The papers are organized in topical sections on classification and semi-supervised learning; clustering and kernel; application to recognition; sampling and big data; application to detection; decision tree learning; learning and adaptation; similarity and decision making; learning with uncertainty; improved learning algorithms and applications.

Download or read book Mastering Deep Learning From Basics to Advanced Techniques written by Dr.M.Kasthuri and published by SK Research Group of Companies. This book was released on 2024-07-10 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.M.Kasthuri, Associate Professor, Department of Computer Science, Bishop Heber College, Tiruchirappalli, Tamil Nadu, India. Mrs.K.Kalaiselvi, Guest Lecturer, Department of Computer Science, Thanthai Periyar Government Arts and Science College, Tiruchirappalli, Tamil Nadu, India.

Download or read book Mastering Azure Analytics written by Zoiner Tejada and published by "O'Reilly Media, Inc.". This book was released on 2017-04-06 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Helps users understand the breadth of Azure services by organizing them into a reference framework they can use when crafting their own big-data analytics solution.

Download or read book Big Data written by James Warren and published by Simon and Schuster. This book was released on 2015-04-29 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth

Download or read book Finance Development December 2023 written by International Monetary Fund. Communications Department and published by International Monetary Fund. This book was released on 2023-11-30 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI has introduced tantalizing new possibilities. Yet the initial excitement surrounding AI has given way to genuine concerns. This issue is an early attempt to understand AI’s implications for growth, jobs, inequality, and finance.

Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer Nature. This book was released on 2023-10-02 with total page 748 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 5th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2023), held at Department of Computer Science and Engineering, Techno Main Salt Lake, West Bengal, India, during May 27–28, 2023. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Download or read book Data Mining Foundations and Practice written by Tsau Young Lin and published by Springer. This book was released on 2008-08-17 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: The IEEE ICDM 2004 workshop on the Foundation of Data Mining and the IEEE ICDM 2005 workshop on the Foundation of Semantic Oriented Data and Web Mining focused on topics ranging from the foundations of data mining to new data mining paradigms. The workshops brought together both data mining researchers and practitioners to discuss these two topics while seeking solutions to long standing data mining problems and stimul- ing new data mining research directions. We feel that the papers presented at these workshops may encourage the study of data mining as a scienti?c ?eld and spark new communications and collaborations between researchers and practitioners. Toexpressthevisionsforgedintheworkshopstoawiderangeofdatam- ing researchers and practitioners and foster active participation in the study of foundations of data mining, we edited this volume by involving extended and updated versions of selected papers presented at those workshops as well as some other relevant contributions. The content of this book includes st- ies of foundations of data mining from theoretical, practical, algorithmical, and managerial perspectives. The following is a brief summary of the papers contained in this book.

Download or read book Kinetic Modeling of Reactions In Foods written by Martinus A.J.S. van Boekel and published by CRC Press. This book was released on 2008-12-18 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: The level of quality that food maintains as it travels down the production-to-consumption path is largely determined by the chemical, biochemical, physical, and microbiological changes that take place during its processing and storage. Authored by an internationally respected food quality expert, Kinetic Modeling of Reactions in Foods demonstrates

Download or read book The Handover How We Gave Control of Our Lives to Corporations States and AIs written by David Runciman and published by Liveright Publishing. This book was released on 2023-11-14 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: “[W]itty and refined . . . Runciman’s point is that the alliance between even a democratic government and a safe-ish A.I. could derail civilization.” —Gideon Lewis-Kraus, New Yorker An eminent political thinker uses our history with states and corporations—“artificial agents” to which we have granted immense power—to predict how AI will remake society. Countless books, news reports, and opinion pieces have announced the impending arrival of artificial intelligence, with most claiming that it will upend our world, revolutionizing not just work but society overall. Yet according to political philosopher and historian David Runciman, we’ve actually been living with a version of AI for 300 years because states and corporations are robots, too. In The Handover, Runciman explains our current situation through the history of these “artificial agents” we created to rescue us from our all-too-human limitations—and demonstrates what this radical new view of our recent past means for our collective future. From the United States and the United Kingdom to the East India Company, Standard Oil, Facebook, and Alibaba, states and corporations have gradually, and then much more rapidly, taken over the planet. They have helped to conquer poverty and eliminate disease, but also unleashed global wars and environmental degradation. As Runciman demonstrates, states and corporations are the ultimate decision-making machines, defined by their ability to make their own choices and, crucially, to sustain the consequences of what has been chosen. And if the rapid spread of the modern state and corporation has already transformed the conditions of human existence, new AI technology promises the same. But what happens when AI interacts with other kinds of artificial agents, the inhuman kind represented by states and corporations? Runciman argues that the twenty-first century will be defined by increasingly intense battles between state and corporate power for the fruits of the AI revolution. In the end, it is not our own, human relationship with AI that will determine our future. Rather, humanity’s fate will be shaped by the interactions among states, corporations, and thinking machines. With clarity and verve, The Handover presents a brilliantly original history of the last three centuries and a new understanding of the immense challenges we now face.

Download or read book Artificial Intelligence and Large Language Models written by Kutub Thakur and published by CRC Press. This book was released on 2024-07-12 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Having been catapulted into public discourse in the last few years, this book serves as an in-depth exploration of the ever-evolving domain of artificial intelligence (AI), large language models, and ChatGPT. It provides a meticulous and thorough analysis of AI, ChatGPT technology, and their prospective trajectories given the current trend, in addition to tracing the significant advancements that have materialized over time. Key Features: Discusses the fundamentals of AI for general readers Introduces readers to the ChatGPT chatbot and how it works Covers natural language processing (NLP), the foundational building block of ChatGPT Introduces readers to the deep learning transformer architecture Covers the fundamentals of ChatGPT training for practitioners Illustrated and organized in an accessible manner, this textbook contains particular appeal to students and course convenors at the undergraduate and graduate level, as well as a reference source for general readers.

Download or read book Fuel Cell Science Engineering and Technology written by R. K. Shah and published by . This book was released on 2004 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: