{"product_id":"grokking-llm-anand-vemula-9798332331886","title":"Grokking LLM: From Fundamentals to Advanced Techniques in Large Language Models","description":"\u003cp\u003e\u003cb\u003eGrokking LLM: From Fundamentals to Advanced Techniques in Large Language Models\u003c\/b\u003e is a comprehensive guide that delves into the intricacies of Large Language Models (LLMs) and their transformative impact on natural language processing (NLP). This book is designed to take readers on a journey from the basic concepts of NLP to the advanced techniques used to train and deploy LLMs effectively.\u003c\/p\u003e\u003cp\u003eThe book begins with an introduction to LLMs, explaining their evolution, significance, and diverse applications in fields such as text generation, translation, and conversational AI. It provides a foundational understanding of the key components of LLMs, including tokens, embeddings, and the attention mechanism, alongside an overview of the Transformer architecture that underpins these models.\u003c\/p\u003e\u003cp\u003eReaders will explore popular LLMs like GPT-3, GPT-4, BERT, and T5, learning about their unique characteristics, strengths, and use cases. A comparative analysis helps highlight the differences and performance metrics of these models, aiding in selecting the right model for specific applications.\u003c\/p\u003e\u003cp\u003eTraining large language models is covered in detail, from data collection and preprocessing to training objectives and fine-tuning techniques. The book also addresses the challenges of handling bias and ensuring fairness in LLMs, offering practical strategies for mitigation.\u003c\/p\u003e\u003cp\u003eImplementing LLMs with Python and TensorFlow is a key focus, providing step-by-step guidance on setting up the environment, preparing data, and building and fine-tuning models. Readers will gain hands-on experience through practical projects such as building a text generator, creating a chatbot, and developing sentiment analysis and text summarization systems.\u003c\/p\u003e\u003cp\u003eAdvanced techniques like transfer learning, prompt engineering, zero-shot and few-shot learning, and distributed training are explored to equip readers with the skills needed for cutting-edge LLM applications. The book also covers performance optimization, model compression, quantization, and best practices for deploying LLMs in production environments.\u003c\/p\u003e\u003cp\u003eWith real-world case studies and insights into future trends and innovations, \u003cb\u003eGrokking LLM: From Fundamentals to Advanced Techniques in Large Language Models\u003c\/b\u003e is an essential resource for anyone looking to master the power and potential of LLMs in the rapidly evolving field of AI.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Anand Vemula\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798332331886\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/05\/2024\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 80\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.26lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.17d","brand":"Anand Vemula","offers":[{"title":"Paperback","offer_id":48217749815551,"sku":"9798332331886","price":12.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_af92b7fc-4d6c-49fa-a803-13f9563f6f30.jpg?v=1771999191","url":"https:\/\/www.whiterainbookhouse.com\/products\/grokking-llm-anand-vemula-9798332331886","provider":"WR Book House","version":"1.0","type":"link"}