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This book presents a practitioner-oriented treatment of LLMOps: the engineering discipline required to deploy, scale, and govern large language model systems in production. Advanced Large Language Model Operations explains why LLM deployments differ from classical MLOps — due to cost/latency ...
Advanced Concepts in Transformers for Deep Learning goes beyond explaining what transformer architectures do to reveal why they work and how to extend them for modern applications in large language models (LLMs), generative AI, and deep learning. It is written for researchers and machine learni...
This comprehensive textbook offers a unique approach to learning machine learning and deep learning by seamlessly integrating theoretical foundations with hands-on laboratory exercises. The book bridges the gap between theory and practice, providing students and practitioners with both the conceptua...
This book presents a practitioner-oriented treatment of LLMOps: the engineering discipline required to deploy, scale, and govern large language model systems in production. Advanced Large Language Model Operations explains why LLM deployments differ from classical MLOps — due to cost/latency ...
This comprehensive textbook offers a unique approach to learning machine learning and deep learning by seamlessly integrating theoretical foundations with hands-on laboratory exercises. The book bridges the gap between theory and practice, providing students and practitioners with both the conceptua...
The 12th International Conference on Database Systems for Advanced Applications (DASFAA), organized jointly by the Asian Institute of Technology, National Electronics and Computer Technology Center and Sirindhorn International Institute of Technology, sought to provide information to users and pract...
The 12th International Conference on Database Systems for Advanced Applications (DASFAA), organized jointly by the Asian Institute of Technology, National Electronics and Computer Technology Center and Sirindhorn International Institute of Technology, sought to provide information to users and pract...
Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an ...
Advanced Guide to Python 3 Programming 2nd Edition delves deeply into a host of subjects that you need to understand if you are to develop sophisticated real-world programs. Each topic is preceded by an introduction followed by more advanced topics, along with numerous examples, that take you to an ...
Advanced Concepts in Transformers for Deep Learning goes beyond explaining what transformer architectures do to reveal why they work and how to extend them for modern applications in large language models (LLMs), generative AI, and deep learning. It is written for researchers and machine learni...