{"product_id":"140433","title":"Language models and generative AI starting with Transformers ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYGWrwXYqGkex2E0Ch40RORTfCXsU.png?v=1765079815\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Language models and generative AI starting with Transformers \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/141383909\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eAnalyze pre-trained language models, giant language models, and small giant language models starting with Transformers!\u003cbr\u003e A detailed analysis of the rapid changes in artificial intelligence technology since ChatGPT!\u003c\/b\u003e \u003cbr\u003eAnalyzing the diverse language models used by tech giants competing against OpenAI!\u003cbr\u003e\u003cbr\u003e This book explains the basic principles of transformers, the development of language models based on them, and the era of generative artificial intelligence in an easy and systematic way.\u003cbr\u003e In particular, rather than simply listing the core principles and technologies of artificial intelligence, it is organized so that they can be intuitively understood through 100 topics and illustrations divided by era.\u003cbr\u003e For readers who have been hesitant about learning artificial intelligence due to complex formulas and algorithms, this book will serve as a stepping stone to take the next step.\u003cbr\u003e\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eChapter 1: Transformers: Innovation in Artificial Intelligence\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Artificial Intelligence Changed by Transformers\u003cbr\u003e 02 Conceptual Understanding of Transformers\u003cbr\u003e 03 Understanding Language Models\u003cbr\u003e 04 Language Model and Data\u003cbr\u003e 05 Changes in language model implementation methods \u003cbr\u003e06 Pre-trained language model\u003cbr\u003e 07 Giant Language Model\u003cbr\u003e 08-based models and generative artificial intelligence\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 2: Structure and Analysis of Transformers\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Deep Learning and Transformers\u003cbr\u003e 02 Transformer of artificial intelligence models\u003cbr\u003e 03 Transformer Structure\u003cbr\u003e 04 Transformer Input - Tokenization\u003cbr\u003e 05 Transformer Input - Setting Token Relationships\u003cbr\u003e 06 One-Hot Encoding and Token Embedding (CBOW)\u003cbr\u003e 07 Token Embedding and Token Embedding Dimensions\u003cbr\u003e 08 Positional Encoding - Token Location and Access\u003cbr\u003e 09 Positional Encoding - Token Embedding Vector\u003cbr\u003e 10 Transformer Encoder\u003cbr\u003e 11 Input and query of multihead attention\u003cbr\u003e 12 Key and dot product attention of multihead attention\u003cbr\u003e 13 The Value of Multihead Attention and Attention Heads\u003cbr\u003e 14 Regularization and Feedforward Neural Networks\u003cbr\u003e 15 Self-Attention\u003cbr\u003e 16 Encoder iterations and hyperparameters\u003cbr\u003e 17 Transformer's decoder\u003cbr\u003e 18 Combination of encoder and decoder of transformer\u003cbr\u003e 19 Transformer output\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 3 Pre-trained language models\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Overview of Pre-trained Language Models \u003cbr\u003e02 Pre-trained language model approach\u003cbr\u003e 03 Various natural language processing tasks\u003cbr\u003e 04 Typical Natural Language Processing Tasks\u003cbr\u003e 05 BERT's Structure and Features\u003cbr\u003e 06 OpenAI's GPT Structure\u003cbr\u003e 07 Concept and Structure of GPT-2\u003cbr\u003e 08 RoBERTa's performance and structure\u003cbr\u003e 09 ALBERT's approach and structure\u003cbr\u003e 10 DistilBERT's approach and performance\u003cbr\u003e 11. Concept and Features of MobileBERT\u003cbr\u003e 12 Concept and Features of SpanBERT\u003cbr\u003e 13 Concept and Application of ELECTRA\u003cbr\u003e 14 Concept and Function of DeBERTa\u003cbr\u003e 15 The appearance and performance of TransformerXL\u003cbr\u003e 16 XLNet Concept and Performance\u003cbr\u003e 17 Concept and Features of BART\u003cbr\u003e 18 CTRL concept and features\u003cbr\u003e Structure and performance of the 19 T5\u003cbr\u003e 20 HuggingFace and Transformers\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 4: Large Language Models\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 Overview of the Giant Language Model\u003cbr\u003e 02 Scale of the large language model\u003cbr\u003e 03 Structure of a large language model\u003cbr\u003e 04 Characteristics of large language models and retraining methods\u003cbr\u003e 05 Limitations of Large Language Models\u003cbr\u003e 06 Deep Learning from a Computational Perspective\u003cbr\u003e 07 Matrix multiplication operation\u003cbr\u003e 08 Computational Amount and Effectiveness of Large Language Models\u003cbr\u003e 09 Utilizing large language models\u003cbr\u003e 10 Structure and Performance of GPT-3\u003cbr\u003e 11 Structure and Features of LaMDA \u003cbr\u003eConcept and Performance of 12 MT NLG\u003cbr\u003e 13 The emergence and approach of Gopher\u003cbr\u003e 14 InstructGPT's Approach and Features\u003cbr\u003e 15 Background and Features of PanGu Alpha\u003cbr\u003e 16 Concept and Features of PaLM\u003cbr\u003e 17 OPT 175B Introduction and Features\u003cbr\u003e 18 BLOOM's background and features\u003cbr\u003e 19 Concept and Features of HyperCLOVA\u003cbr\u003e 20-Size Competition and the Emergence of ChatGPT\u003cbr\u003e\u003cbr\u003e \u003cb\u003eChapter 5: ChatGPT and Generative Artificial Intelligence\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 01 ChatGPT's Success and Changes\u003cbr\u003e 02 ChatGPT's effectiveness and computational complexity\u003cbr\u003e 03 Artificial Intelligence after ChatGPT\u003cbr\u003e 04 Basic Approaches to Alleviating Hallucinogenic Effects\u003cbr\u003e 05 Explainable AI and Large Language Models\u003cbr\u003e 06 Basic approach to model lightweighting\u003cbr\u003e 07 Model Lightweight and Hardware\u003cbr\u003e 08 Basic Approach to Transformers\u003cbr\u003e 09 Concept and Structure of RWKV\u003cbr\u003e 10 Approaches and Features of Retentive Networks\u003cbr\u003e 11 Moves by Giant Tech Companies\u003cbr\u003e 12 Background and Features of GPT-4\u003cbr\u003e 13 Features of GPT-4 Turbo and GPT-4o\u003cbr\u003e 14 Features of GPT-o1 and GPT-5\u003cbr\u003e 15 OpenAI's GPT Store\u003cbr\u003e 16 Features and Functions of Bard\u003cbr\u003e 17 The size and features of PaLM 2\u003cbr\u003e 18 Gemini's appearance and characteristics\u003cbr\u003e 19 The appearance and features of Copilot\u003cbr\u003e 20 Claude's Development and Features \u003cbr\u003e21 The emergence of small-scale giant language models\u003cbr\u003e 22 Characteristics and Structure of LLaMA\u003cbr\u003e 23 Performance of LLaMA 2 and LLaMA 3\u003cbr\u003e 24 Gemma Features and Functions\u003cbr\u003e 25 The emergence and features of Mistral AI\u003cbr\u003e 26 Features and functions of phi\u003cbr\u003e 27 Korea's sLLM and Solar\u003cbr\u003e 28 Conversational AI and sLLM Utilization Tools\u003cbr\u003e 29 Technological Future Prospects for Artificial Intelligence\u003cbr\u003e 30 Future Prospects for Artificial Intelligence Platforms\u003cbr\u003e 31 Regulatory Outlook for Artificial Intelligence\u003cbr\u003e 32 Policy Outlook for Artificial Intelligence\u003cbr\u003e 33 Future Prospects for General Artificial Intelligence\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate5095\/MidCate001\/509408640.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e This book goes beyond simply explaining Transformers.\u003cbr\u003e Since the advent of Transformers, artificial intelligence has entered a new era of generative AI, and the barriers to entry for development have been significantly lowered through platforms and open source.\u003cbr\u003e In particular, we analyze generative AI from the perspective of language models to explain the competitive landscape of global big tech companies. \u003cbr\u003eAdditionally, we provide an opportunity to utilize real-world artificial intelligence by providing videos of pre-trained language models and sLLM exercises that anyone can easily run on a laptop.\u003cbr\u003e I hope this book will serve as a valuable guide for students, researchers, and practitioners exploring the world of Transformers and generative AI. The pace of AI technology development is astonishingly rapid.\u003cbr\u003e But at the heart of that innovation has always been, and will continue to be, Transformers.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e \u003cb\u003eA word from the author\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e The advent of Transformers has shifted the paradigm of natural language processing (NLP) and generative AI, and models like GPT, BERT, and DALL-E, which were born from them, are now revolutionizing our daily lives and industries.\u003cbr\u003e In this way, Transformer represents a paradigm shift beyond a single deep learning model. \u003cbr\u003eWhen recurrent neural networks (RNNs) and long short-term memory (LSTMs) in the past showed limitations by failing to overcome temporal dependence, Transformers overcame these limitations through the paper “Attention is all you need.”\u003cbr\u003e As a result, Transformers have become a new standard in natural language processing, being used in a variety of fields, including machine translation, language understanding, conversational systems, and text generation.\u003cbr\u003e Subsequent extensions of pre-trained language models (PLMs) and large language models (LLMs) have rewritten the history of artificial intelligence, proving the potential of transformers.\u003cbr\u003e The future of artificial intelligence depends on how we learn and utilize it.\u003cbr\u003e Now, let's begin that journey together. \u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e January 13, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 220 pages | 187*240*20mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791198685339\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1198685336 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893421113386,"sku":"140433","price":30.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/19550861e28744f32b2ba9a92cee3e23.jpg?v=1765401339","url":"https:\/\/librairie.coreenne.fr\/en\/products\/140433","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}