Demystifying Large Language Models - James Chen
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Présentation Demystifying Large Language Models de James Chen Format Relié
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Résumé :
This book is a comprehensive guide aiming to demystify the world of transformers -- the architecture that powers Large Language Models (LLMs) like GPT and BERT. From PyTorch basics and mathematical foundations to implementing a Transformer from scratch, you'll gain a deep understanding of the inner workings of these models. That's just the beginning. Get ready to dive into the realm of pre-training your own Transformer from scratch, unlocking the power of transfer learning to fine-tune LLMs for your specific use cases, exploring advanced techniques like PEFT (Prompting for Efficient Fine-Tuning) and LoRA (Low-Rank Adaptation) for fine-tuning, as well as RLHF (Reinforcement Learning with Human Feedback) for detoxifying LLMs to make them aligned with human values and ethical norms. Step into the deployment of LLMs, delivering these state-of-the-art language models into the real-world, whether integrating them into cloud platforms or optimizing them for edge devices, this section ensures you're equipped with the know-how to bring your AI solutions to life. Whether you're a seasoned AI practitioner, a data scientist, or a curious developer eager to advance your knowledge on the powerful LLMs, this book is your ultimate guide to mastering these cutting-edge models. By translating convoluted concepts into understandable explanations and offering a practical hands-on approach, this treasure trove of knowledge is invaluable to both aspiring beginners and seasoned professionals....
Sommaire:
James Tai-Chi Chen was born and educated in Taiwan, but has lived in Canada for over three decades. He has studied economics, been a business manager and owner, and worked in the insurance industry. It was in this last role that Chen became convinced that life is the most important asset for individuals and family and became determined to make a difference. Today Chen lives in Burnaby, B.C. Canada with his wife and daughter. He is an avid reader, and loves music, dancing, and playing basketball, ping-pong, and snooker. Save Our Troubled World is his first book....
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