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ویرایش: 1 نویسندگان: Kutub Thakur, Helen G. Barker, Al-Sakib Khan Pathan سری: ISBN (شابک) : 103275480X, 9781032754802 ناشر: Chapman and Hall/CRC سال نشر: 2024 تعداد صفحات: 0 زبان: English فرمت فایل : RAR (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 10 مگابایت
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در صورت تبدیل فایل کتاب Artificial Intelligence and Large Language Models: An Introduction to the Technological Future به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب هوش مصنوعی و مدلهای زبان بزرگ: مقدمهای بر آینده فناوری نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Cover Half Title Title Page Copyright Page Dedication Contents Preface About the Authors 1. Fundamentals of Artificial Intelligence (AI) Introduction Short History of Artificial Intelligence What Is the Turing Test? The Objectives of Artificial Intelligence Problem-Solving Reasoning Learning Planning Deeper Insight into Data Types of Artificial Intelligence Types of Artificial Intelligence Based on Functionalities Reactive Machines Limited Memory Theory of Mind Self-Aware Types of Artificial Intelligence Based on Capability Artificial Narrow Intelligence Artificial General Intelligence Artificial Super Intelligence What Is the Structure of an Artificial Intelligence System? Environment Agent Sensor Affecters Actuator Different Fields of Artificial Intelligence Cognitive Computing Machine Learning Deep Learning Artificial Neural Networks Computer Vision Natural Language Processing Expert Systems Reinforcement Learning Robotics What Is the Logic Used in Artificial Intelligence and Its Types? Deductive Logic Inductive Logic Other Main Types of Logic in Artificial Intelligence Propositional Logic First-Order Logic Second-Order Logic Third-Order Logic Higher-Order Logic Modal Logic Applications of Logic in Artificial Intelligence Artificial Intelligence Approaches Symbolic Approach Connectionist Approach 2. Introduction to ChatGPT Introduction Generative Modeling Generative Artificial Intelligence Models Types of Generative Artificial Intelligence Models Probabilistic Generative Models Adversarial Generative Models Normalizing Flow-Based Models Introduction to Most Popular Generative Models Problem-Solving Scope of ChatGPT History of Generative Models A Glimpse of ChatGPT Statistics OpenAI Conversational Model Transfer Learning Model Used in ChatGPT Proximal Policy Optimization Trust Region Policy Optimization Introduction to Large Language Model Reinforcement Learning from Human Feedback Cloud Computing and ChatGPT Application Programming Interface Transformer Library Python Programming Language for ChatGPT Neural Network Technology in ChatGPT Deep Learning Technology in ChatGPT Natural Language Processing in ChatGPT How to Use ChatGPT Bot? Salient Features of ChatGPT Limitations of ChatGPT Top Services of ChatGPT 3. ChatGPT Technology Stack Introduction Hardware Technology Stack Graphics Processing Units Tensor Processing Units High Bandwidth Memory Compute Unified Device Architecture Cloud Computing Infrastructure Software Technology Stack Programming Languages Python Programming Language C++ Programming Language CUDA Programming Language HTML Language JavaScript Deep Learning Frameworks PyTorch Platform Keras Platform TensorFlow Theano NumPy Anaconda Natural Language Processing Libraries Hugging Face Transformers SpaCy Platform 4. Natural Language Processing (NLP): Foundation Building Block of ChatGPT Introduction What Is Natural Language Processing? How Does Natural Language Processing Technology Work? Branches of Natural Language Processing Historical Eras of Natural Language Processing Symbolic Natural Language Processing Era Statistical Natural Language Processing Era Neural Natural Language Processing Era Applications of Natural Language Processing ChatGPT Domain-Specific Chatbots Language Translation Speech Recognition Text Processing Spam Filtering Sentiment Analysis Predictive Recommendation Smart Assistants Data Analysis Grammar Checker Applications Personalized Marketing Social Media Monitoring What Techniques Are Used in Natural Language Processing? Part of Speech Tagging Tokenization Named Entity Recognition Sentiment Analysis Summarization Topic Modeling Text Classification Keyword Extraction Lemmatization and Stemming 5. Deep Learning Transformer Architecture Introduction Importance of the Deep Learning Transformer What Is the Transformer Model? What Is a Pretrained System? What Are the Main Types of Pretrained Systems? Bidirectional Encoder Representations from Transformers Generative Pretrained Transformer Universal Sentence Encoder Text-to-Text Transfer Transformer Attention Mechanism in Transformer What Are Large Language Models? Examples of Large Language Models What Is the Large Language Model Dataset? Main Types of Large Language Datasets Wikipedia Text Corpus Web Page Text Corpus Books Text Corpus Other Corpora Architecture of Different Versions of GPT Version GPT 1.0 Version GPT 2.0 Version GPT 3.0 Version GPT 3.5 6. Fundamentals of ChatGPT Training Introduction Training Content Types Articles Books Webpages Other Sources Training Models Large Language Models Techniques Used in Training Models Masked-Language Modeling Technique Next-Token-Prediction Technique ChatGPT Training Process Simplified Long Short-Term Memory Model Supervised Fine-Tuning Model Reward Model Reinforcement Learning Model Model Evaluation 7. Using ChatGPT Like a Pro Introduction Important Tasks to Use ChatGPT Like a Pro How to Register for ChatGPT? How to Login ChatGPT? Overview of ChatGPT Interface Getting Started with Your First Query Overview of Using ChatGPT How to Regenerate New Response? How to Copy and Share Response? How to Give Feedback to ChatGPT? How to Add Customized Instructions? How to Set Themes? How to Turn-Off/On Your Chat History? How to Manage Links for Sharing Chats? How to Export Chat Data? How to Log Out of Your ChatGPT Account? How to Delete Your ChatGPT Account? Upgrading to ChatGPT-4 Difference between Different Versions of ChatGPT Advanced Features of ChatGPT 4 How to Use ChatGPT in Software Development? How to Use ChatGPT for Effective Text Generation? What Are the Benefits of Using ChatGPT? Limitations of ChatGPT 8. Using Different Versions of ChatGPT Introduction Use of the Main Versions of ChatGPT Using ChatGPT 3.5 Main Features and Uses Using ChatGPT 4.0 Main Features and Uses 9. Future of ChatGPT Introduction Possibilities Challenges Implications 10. Top Use Cases of GPT-Based Tools Introduction AI-Powered Tools Similar to ChatGPT ChatGPT Google BARD Claude 2 DALL-E 2 GitHub Copilot Bibliography Index