BOOKS - Generative AI and LLMs Natural Language Processing and Generative Adversarial...
Generative AI and LLMs Natural Language Processing and Generative Adversarial Networks - S. Balasubramaniam, Seifedine Kadry, A. Prasanth, Rajesh Kumar Dhanaraj 2024 EPUB | MOBI De Gruyter BOOKS
1 TON

Views
32568

Telegram
 
Generative AI and LLMs Natural Language Processing and Generative Adversarial Networks
Author: S. Balasubramaniam, Seifedine Kadry, A. Prasanth, Rajesh Kumar Dhanaraj
Year: 2024
Format: EPUB | MOBI
File size: 10.1 MB
Language: ENG



Pay with Telegram STARS
Book Description: The book explores the intersection of natural language processing (NLP) and generative adversarial networks (GANs), two rapidly evolving fields in artificial intelligence (AI). It provides an in-depth look at how these technologies are transforming our understanding of language and its role in shaping human culture and society. The book begins by introducing the fundamentals of NLP and GANs, followed by a detailed examination of their applications in various industries such as healthcare, finance, education, and entertainment. It also delves into the ethical implications of these technologies and their potential impact on society. Finally, it offers insights into the future of work and how these technologies may shape the nature of employment in the years to come. Long Description of the Plot: In this captivating book, we embark on a journey through the fascinating world of generative AI and LLMs (long short-term memory) natural language processing, exploring the cutting-edge technologies that are revolutionizing the way we understand and interact with language. We begin by delving into the basics of NLP, discovering how machines can process and analyze vast amounts of text data, enabling them to comprehend and generate human-like language. As we progress, we encounter the power of GANs, which use machine learning algorithms to generate realistic and coherent text, images, and videos, blurring the lines between reality and fiction.
Книга исследует пересечение обработки естественного языка (NLP) и генеративных состязательных сетей (GAN), двух быстро развивающихся областей в искусственном интеллекте (AI). Он дает глубокий взгляд на то, как эти технологии трансформируют наше понимание языка и его роль в формировании человеческой культуры и общества. Книга начинается с введения основ НЛП и ГАН, после чего следует детальный анализ их применения в различных отраслях, таких как здравоохранение, финансы, образование и развлечения. Он также углубляется в этические последствия этих технологий и их потенциальное влияние на общество. Наконец, он предлагает понимание будущего работы и того, как эти технологии могут повлиять на характер занятости в ближайшие годы. Длинное описание сюжета: В этой увлекательной книге мы отправляемся в путешествие по увлекательному миру генеративного ИИ и обработки естественного языка LLM (long short-term memory), исследуя передовые технологии, которые революционизируют то, как мы понимаем и взаимодействуем с языком. Мы начинаем с того, что углубляемся в основы NLP, выясняем, как машины могут обрабатывать и анализировать огромные объемы текстовых данных, позволяя им понимать и генерировать человекоподобный язык. По мере развития мы сталкиваемся с мощью ГАН, которые используют алгоритмы машинного обучения для генерации реалистичного и связного текста, изображений и видео, стирая границы между реальностью и вымыслом.
''

You may also be interested in:

Generative Analysis The Power of Generative AI for Object-Oriented Software Engineering with UML (Early Release)
Generative Analysis The Power of Generative AI for Object-Oriented Software Engineering with UML (Early Release)
Generative AI in Practice 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society
Generative Artificial Intelligence Exploring the Power and Potential of Generative AI
Generative Artificial Intelligence Exploring the Power and Potential of Generative AI
Natural Language Processing for Hackers Learn to build awesome apps that can understand people
PyTorch for Natural Language Processing Mastery : Build powerful dialogue models with Python
PyTorch for Natural Language Processing Mastery Build powerful dialogue models with Python
PyTorch for Natural Language Processing Mastery Build powerful dialogue models with Python
Building Generative AI Services with FastAPI A Practical Approach to Developing Context Rich Generative AI Applications (Second Early Release)
Building Generative AI Services with FastAPI A Practical Approach to Developing Context Rich Generative AI Applications (Second Early Release)
Enterprise GENERATIVE AI Well Architected Framework and Patterns: An Architect|s Real-life Guide to Adopting Generative AI in Enterprises at Scale
Building Generative AI Services with FastAPI A Practical Approach to Developing Context Rich Generative AI Applications (5th Early Release)
Gauge Field Theory in Natural Geometric Language A revisitation of mathematical notions of quantum physics
Practical Natural Language Processing A Comprehensive Guide to Building Real-World NLP Systems
Practical Natural Language Processing: A Comprehensive Guide to Building Real-world NLP systems
Enterprise Generative AI Well Architected Framework & Patterns An Architect|s Real-life Guide to Adopting Generative AI in Enterprises at Scale
Enterprise Generative AI Well Architected Framework & Patterns An Architect|s Real-life Guide to Adopting Generative AI in Enterprises at Scale
Python for Natural Language Processing Programming with NumPy, Scikit-learn, Keras, and PyTorch, 3rd Edition
Python for Natural Language Processing Programming with NumPy, Scikit-learn, Keras, and PyTorch, 3rd Edition
Ten Lectures on Natural Semantic Metalanguage: Exploring Language, Thought and Culture Using Simple, Translatable Words
Hands-On Natural Language Processing with PyTorch 1.x: Build smart, AI-driven linguistic applications using deep learning and NLP techniques
Kleine generative Syntax des Deutschen: I. Traditionelle Syntax und generative Syntaxtheorie (Germanistische Arbeitshefte, 11) (German Edition)
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Insights and quot;The Natural Inspired By The Spiritual and quot;: The Poems Herein Are Written In Contemporary Language!
Linguistic Resources for Natural Language Processing On the Necessity of Using Linguistic Methods to Develop NLP Software
Linguistic Resources for Natural Language Processing: On the Necessity of Using Linguistic Methods to Develop NLP Software
Linguistic Resources for Natural Language Processing On the Necessity of Using Linguistic Methods to Develop NLP Software
Machine Learning and Deep Learning in Natural Language Processing
Machine Learning and Deep Learning in Natural Language Processing
Natural Language Processing A Quick Introduction to NLP with Python and NLTK (Step-by-Step Tutorial for Beginners)
Creative Prototyping with Generative AI: Augmenting Creative Workflows with Generative AI (Design Thinking)
Natural Language Processing on Oracle Cloud Infrastructure Building Transformer-Based NLP Solutions Using Oracle AI and Hugging Face
Natural Language Processing in the Real World: Text Processing, Analytics, and Classification (Chapman and Hall CRC Data Science Series)
Hyperautomation with Generative AI Learn how Hyperautomation and Generative AI can help you transform your business and create new value
Hyperautomation with Generative AI Learn how Hyperautomation and Generative AI can help you transform your business and create new value
The Dominance of English as a Language of Science: Effects on Other Languages and Language Communities (Contributions to the Sociology of Language [CSL], 84)
Academic Language in Diverse Classrooms: English Language Arts, Grades 3-5: Promoting Content and Language Learning
IBM Watson Solutions for Machine Learning: Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools
Applied Natural Language Processing with PyTorch 2.0 Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0