BOOKS - Generative AI models
Generative AI models - Jovan Pehcevski 2024 PDF Arcler Press BOOKS
ECO~18 kg CO²

1 TON

Views
223681

Telegram
 
Generative AI models
Author: Jovan Pehcevski
Year: 2024
Pages: 419
Format: PDF
File size: 50.2 MB
Language: ENG



Pay with Telegram STARS
The authors of the book are experts in the field of generative AI and have written an accessible and comprehensive guide to understanding how these models work and what they can do. Book Generative AI Models: Understanding the Evolution of Technology and Its Impact on Society Introduction: Artificial Intelligence (AI) has transformed our world in ways we never thought possible, and Generative AI is at the forefront of this revolution. This book delves into the latest advancements in Generative AI models, exploring their capabilities, applications, and the ethical implications of these technologies. As we embrace the power of Generative AI, it's crucial to understand the process of technology evolution and its impact on society. This book provides a comprehensive guide to help us navigate this rapidly changing landscape. Chapter 1: The Evolution of Generative AI The journey of Generative AI began with the development of Recurrent Neural Networks (RNNs), which laid the foundation for more advanced techniques like Long Short-Term Memory (LSTM) networks and Generative Adversarial Networks (GANs). These models have enabled the creation of sophisticated images, videos, text, and even music, pushing the boundaries of human creativity. We will explore the historical context of Generative AI, the current state of the field, and the future prospects of these models.
Авторы книги являются экспертами в области генеративного ИИ и написали доступное и всеобъемлющее руководство по пониманию того, как работают эти модели и что они могут сделать. Книга Generative AI Models: Understanding the Evolution of Technology and Its Impact on Society Introduction: Artificial Intelligence (AI) изменила наш мир так, как мы никогда не считали возможным, и Generative AI находится в авангарде этой революции. Эта книга углубляется в последние достижения в моделях генеративного ИИ, исследуя их возможности, приложения и этические последствия этих технологий. Принимая силу генеративного ИИ, крайне важно понимать процесс эволюции технологий и его влияние на общество. Эта книга содержит исчерпывающее руководство, которое поможет нам ориентироваться в этой быстро меняющейся среде. Глава 1: Эволюция генеративного ИИ Путешествие генеративного ИИ началось с разработки рекуррентных нейронных сетей (RNN), которые заложили основу для более продвинутых методов, таких как сети длительной краткосрочной памяти (LSTM) и генеративные состязательные сети (GAN). Эти модели позволили создавать сложные изображения, видео, текст и даже музыку, расширяя границы человеческого творчества. Мы изучим исторический контекст генеративного ИИ, текущее состояние месторождения и дальнейшие перспективы этих моделей.
s auteurs du livre sont des experts en IA générative et ont écrit un guide accessible et complet pour comprendre comment ces modèles fonctionnent et ce qu'ils peuvent faire. livre Generative AI Models : Understanding the Evolution of Technology and It Impact on Society Introduction : Artificial Intelligence (AI) a changé notre monde d'une manière que nous n'aurions jamais cru possible, et Generative AI est à la pointe de cette révolution. Ce livre explore les dernières avancées des modèles d'IA générative en explorant leurs possibilités, leurs applications et les implications éthiques de ces technologies. En acceptant le pouvoir de l'IA générative, il est essentiel de comprendre le processus d'évolution de la technologie et son impact sur la société. Ce livre contient un guide complet qui nous aidera à naviguer dans cet environnement en évolution rapide. Chapitre 1 : Évolution de l'IA générative voyage de l'IA générative a commencé par le développement de réseaux neuronaux récurrents (RNN), qui ont jeté les bases de méthodes plus avancées telles que les réseaux de mémoire à long terme (LSTM) et les réseaux de compétition générative (GAN). Ces modèles ont permis de créer des images, des vidéos, des textes et même de la musique complexes, étendant les limites de la créativité humaine. Nous examinerons le contexte historique de l'IA générative, l'état actuel du champ et les perspectives futures de ces modèles.
autores del libro son expertos en IA generativa y han escrito una guía accesible y completa para entender cómo funcionan estos modelos y qué pueden hacer. libro Generative AI Models: Understanding the Evolution of Technology and Its Impact on Society Introduction: Artificial Intelligence (AI) ha cambiado nuestro mundo de una manera que nunca hemos visto creían posible, y la AI Generativa está a la vanguardia de esta revolución. Este libro profundiza en los últimos avances en los modelos de IA generativa, investigando sus posibilidades, aplicaciones e implicaciones éticas de estas tecnologías. Al aceptar el poder de la IA generativa, es fundamental comprender el proceso de evolución de la tecnología y su impacto en la sociedad. Este libro contiene una guía exhaustiva que nos ayudará a navegar en este entorno que cambia rápidamente. Capítulo 1: Evolución de la IA generativa viaje de la IA generativa comenzó con el desarrollo de redes neuronales recurrativas (RNN) que sentaron las bases para técnicas más avanzadas como las redes de memoria a corto plazo (LSTM) y las redes competitivas generadoras (GAN). Estos modelos han permitido crear imágenes complejas, vídeos, textos e incluso música, ampliando los límites de la creatividad humana. Examinaremos el contexto histórico de la IA generadora, el estado actual del campo y las perspectivas futuras de estos modelos.
Die Autoren des Buches sind Experten auf dem Gebiet der generativen KI und haben einen zugänglichen und umfassenden itfaden geschrieben, um zu verstehen, wie diese Modelle funktionieren und was sie tun können. Das Buch Generative AI Models: Understanding the Evolution of Technology and Its Impact on Society Einführung: Künstliche Intelligenz (KI) hat unsere Welt in einer Weise verändert, die wir nie für möglich gehalten hätten, und Generative AI steht an der Spitze dieser Revolution. Dieses Buch befasst sich mit den neuesten Fortschritten in generativen KI-Modellen und untersucht ihre Fähigkeiten, Anwendungen und ethischen Implikationen dieser Technologien. Bei der Nutzung der Kraft generativer KI ist es entscheidend, den Prozess der Technologieentwicklung und ihre Auswirkungen auf die Gesellschaft zu verstehen. Dieses Buch enthält eine umfassende Anleitung, die uns helfen wird, in dieser sich schnell verändernden Umgebung zu navigieren. Kapitel 1: Die Evolution der generativen KI Die Reise der generativen KI begann mit der Entwicklung von rekurrenten neuronalen Netzen (RNNs), die die Grundlage für fortgeschrittenere Techniken wie Long-Term-Short-Memory-Netzwerke (LSTMs) und generative Contracting-Netzwerke (GANs) legten. Diese Modelle ermöglichten es, komplexe Bilder, Videos, Texte und sogar Musik zu erstellen und die Grenzen der menschlichen Kreativität zu erweitern. Wir werden den historischen Kontext der generativen KI, den aktuellen Zustand der Lagerstätte und die Zukunftsaussichten dieser Modelle untersuchen.
''
Kitabın yazarları üretken yapay zeka konusunda uzmandır ve bu modellerin nasıl çalıştığını ve neler yapabileceklerini anlamak için erişilebilir ve kapsamlı bir rehber yazmışlardır. Generative AI Models: Understanding the Evolution of Technology and Its Impact on Society Introduction: Artificial Intelligence (Yapay Zeka) dünyamızı asla mümkün olmadığını düşündüğümüz şekillerde değiştirdi ve Generative AI bu devrimin ön saflarında yer alıyor. Bu kitap, bu teknolojilerin yeteneklerini, uygulamalarını ve etik etkilerini araştırarak üretken AI modellerindeki son gelişmeleri incelemektedir. Üretken AI'nın gücünü benimserken, teknolojinin evrimini ve toplum üzerindeki etkisini anlamak çok önemlidir. Bu kitap, hızla değişen bu ortamda gezinmemize yardımcı olacak kapsamlı bir rehber içermektedir. Bölüm 1: Üretken AI'nın Evrimi Üretken AI'nın yolculuğu, uzun süreli kısa süreli bellek ağları (LSTM'ler) ve üretken rakip ağlar (GAN'lar) gibi daha gelişmiş tekniklerin temelini atan tekrarlayan sinir ağlarının (RNN'ler) geliştirilmesiyle başladı. Bu modeller, insan yaratıcılığının sınırlarını genişleterek karmaşık görüntüler, videolar, metinler ve hatta müzik oluşturmayı mümkün kıldı. Üretken AI'nın tarihsel bağlamını, alanın mevcut durumunu ve bu modellerin gelecekteki beklentilerini keşfedeceğiz.
مؤلفو الكتاب خبراء في الذكاء الاصطناعي التوليدي وقد كتبوا دليلاً ميسورًا وشاملاً لفهم كيفية عمل هذه النماذج وما يمكنهم فعله. نماذج الذكاء الاصطناعي المولدة: فهم تطور التكنولوجيا وتأثيرها على المجتمع مقدمة: لقد غير الذكاء الاصطناعي (AI) عالمنا بطرق لم نكن نعتقد أنها ممكنة، والذكاء الاصطناعي المولد في طليعة هذه الثورة. يتعمق هذا الكتاب في التطورات الأخيرة في نماذج الذكاء الاصطناعي التوليدية من خلال استكشاف قدراتها وتطبيقاتها والآثار الأخلاقية لهذه التقنيات. عند تبني قوة الذكاء الاصطناعي المولد، من الضروري فهم تطور التكنولوجيا وتأثيرها على المجتمع. يحتوي هذا الكتاب على دليل شامل لمساعدتنا على التنقل في هذه البيئة سريعة التغير. الفصل 1: تطور الذكاء الاصطناعي المولد بدأت رحلة الذكاء الاصطناعي المولد بتطوير الشبكات العصبية المتكررة (RNNs)، والتي أرست الأساس لتقنيات أكثر تقدمًا مثل شبكات الذاكرة قصيرة الأجل طويلة الأجل (LSTMs) وشبكات الخصومة التوليدية (GANs). أتاحت هذه النماذج إنشاء صور ومقاطع فيديو ونصوص معقدة وحتى موسيقى، مما أدى إلى توسيع حدود الإبداع البشري. سنستكشف السياق التاريخي للذكاء الاصطناعي المولد، والوضع الحالي للمجال والآفاق المستقبلية لهذه النماذج.

You may also be interested in:

Ultimate Generative AI Solutions on Google Cloud Practical Strategies for Building and Scaling Generative AI Solutions with Google Cloud Tools, Langchain, RAG, and LLMOps
Python Development with Large Language Models: From Text to Tasks: Python Programming with the Help of Large Language Models! 5 Projects to Master Python … Models (Python Trailblazer|s Bible)
Generative AI with Amazon Bedrock: Build, scale, and secure generative AI applications using Amazon Bedrock
Models for mental disorder conceptual models in psychiatry
LangChain and LlamaIndex Projects Lab Book Hooking Large Language Models Up to the Real World Using GPT-4, ChatGPT, Hugging Face, and local Ollama Models in Applications
LangChain and LlamaIndex Projects Lab Book Hooking Large Language Models Up to the Real World Using GPT-4, ChatGPT, Hugging Face, and local Ollama Models in Applications
Pretrain Vision and Large Language Models in Python: End-to-end techniques for building and deploying foundation models on AWS
Art Models Collibrina034: Figure Drawing Pose Reference (Art Models Poses)
Art Models Jesse021: Figure Drawing Pose Reference (Art Models Poses)
Art Models AnaIv435: Figure Drawing Pose Reference (Art Models Poses)
Art Models IvyLee003: Figure Drawing Pose Reference (Art Models Poses)
Art Models Saju081: Figure Drawing Pose Reference (Art Models Poses)
Art Models SarahAnn032: Figure Drawing Pose Reference (Art Models Poses)
Art Models KatarinaK020: Figure Drawing Pose Reference (Art Models Poses)
Art Models Sam074: Figure Drawing Pose Reference (Art Models Poses)
Art Models 9 Clothed Figures for the Visual Arts (Art Models Series)
Introduction to Python and Large Language Models A Guide to Language Models
Introduction to Python and Large Language Models A Guide to Language Models
LLM, Transformer, RAG AI: Mastering Large Language Models, Transformer Models, and Retrieval-Augmented Generation (RAG) Technology
Art Models Complete Collection 1-10 (Art Models series)
Python Development with Large Language Models From Text to Tasks Python Programming with the Help of Large Language Models! 5 Projects to Master Python Development with Large Language Models
Python Development with Large Language Models From Text to Tasks Python Programming with the Help of Large Language Models! 5 Projects to Master Python Development with Large Language Models
Python Development with Large Language Models From Text to Tasks Python Programming with the Help of Large Language Models! 5 Projects to Master Python Development with Large Language Models
Debugging Machine Learning Models with Python: Develop high-performance, low-bias, and explainable machine learning and deep learning models
Income Statement Semantic Models Building Enterprise-Grade Income Statement Models with Power BI
Income Statement Semantic Models: Building Enterprise-Grade Income Statement Models with Power BI
Income Statement Semantic Models Building Enterprise-Grade Income Statement Models with Power BI
Mastering Large Language Models with Python: Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large … Models (LLMs) with Python (English E
Large Language Models Projects Apply and Implement Strategies for Large Language Models
Mastering Large Language Models with Python Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python
Mastering Large Language Models with Python Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python
Cloud Computing Simplified Explore Application of Cloud, Cloud Deployment Models, Service Models and Mobile Cloud Computing
Applications of Generative AI
Generative AI and Cyberbullying
Introduction to Generative AI
Generative AI For Dummies
Generative AI on AWS
Synthetic Data and Generative AI
Generative Artificial Intelligence
Generative AI and Digital Forensics