Kun Zhou

Are you eager to explore the latest breakthrough in artificial intelligence, particularly the domain of large language models (LLMs)? This book is your go-to guide for understanding the core foundations and advanced techniques of LLMs. This comprehensive resource offers a complete understanding of LLM developments, from pre-training to fine-tuning. It elaborates on the classic Transformer architecture, its adaptations for LLMs, and the full training process, including data collection, cleaning, and preparation. From the book, readers can also learn how to fine-tune LLMs to follow human instructions and align with human values and intentions, ensuring safer and more ethical AI behavior. Furthermore, it helps readers discover effective prompting strategies, such as in-context learning and chain-of-thought, to enhance LLM capabilities and solve complex tasks. Suitable for both beginners and experienced professionals, this book is an invaluable resource for navigating the dynamic field of LLMs, offering a concise yet comprehensive exploration of the subject. The translation was originally done using artificial intelligence. Subsequently, a comprehensive human revision was done to ensure content accuracy and coherence throughout the book.

In this book, the authors cover the recent progress in the synthesis, characterization and application of various multi-layered carbides, carbonitrides and nitrides. Moreover, the processing and development of MXene-based composites are elaborated, focusing on their applications and performances as transparent conductors in environmental remediation and energy storage systems.

In this book, the authors cover the recent progress in the synthesis, characterization and application of various multi-layered carbides, carbonitrides and nitrides. Moreover, the processing and development of MXene-based composites are elaborated, focusing on their applications and performances as transparent conductors in environmental remediation and energy storage systems.

Metal Powder—Based Additive Manufacturing Highly comprehensive resource covering all key aspects of the current developments of metal powder—based additive manufacturing Metal Powder—Based Additive Manufacturing provides valuable knowledge and critical insights regarding the recent advances in various metal powder—based additive manufacturing techniques. This book also reviews typical powder preparation processes and highlights the significance of metal powder—based additive manufacturing for various industrial applications. The key features covered in this book: A rigorous overview of the underlying theories and practical applications of metal powder—based additive manufacturing techniques, including laser powder bed fusion, electron beam melting, laser-based directed energy deposition, and metal binder jetting.An expansive introduction of each technique and its significance pertaining to the printing processes, metallurgical defects, powder materials, equipment, and the microstructures and mechanical properties of the printed parts.A deep exploration of the preparation processes of metal powders for additive manufacturing and the effects of different processes on the powder properties.Comprehensive case studies of parts printed by metal powder—based additive manufacturing for various industrial applications. By providing extensive coverage of relevant concepts in the field of metal powder—based additive manufacturing, this book highlights its essential role in Industry 4.0 and serves as a valuable resource for scientists, engineers, and students in materials science, powder metallurgy, physics, and chemistry. The rich research experience of the authors in additive manufacturing ensures that the readers are provided with both an in-depth understanding and informative technical guidance of metal powder—based additive manufacturing.

Molecular Dynamic Simulation: Fundamentals and Applications explains the basic principles of MD simulation and explores its recent developments and roles in advanced modeling approaches. The implementation of MD simulation and its application to various aspects of materials science and engineering including mechanical, thermal, mass transportation, and physical/chemical reaction problems are illustrated. Innovative modeling techniques that apply MD to explore the mechanics of typical nanomaterials and nanostructures and to characterize crystalline, amorphous, and liquid systems are also presented. The rich research experience of the authors in MD simulation will ensure that the readers are provided with both an in-depth understanding of MD simulation and clear technical guidance.