LLM Engineering: A Practical Guide to Designing, Deploying, and Scaling Large La
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Description
LLM Engineering: A Practical Guide to Designing, Deploying, and Scaling Large La. This book dives deep into these technologies, guiding you to harness their full potential for real-world applications. "LLM Engineering" is a comprehensive, hands-on guide for engineers, researchers, and AI enthusiasts who want to master the art of working with Large Language Models. LLM Engineering by Charles Sprinter Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Large Language Models (LLMs) like GPT, BERT, and T5 are revolutionizing the way machines understand and generate human language. These models form the backbone of today's cutting-edge AI applications, powering chatbots, content generation, sentiment analysis, and more. However, designing, deploying, and scaling these complex systems is a challenge that requires deep technical knowledge and practical advancements like LoRA (Low-Rank Adaptation), multimodal AI, and personalized models, LLMs are becoming more efficient, versatile, and accessible. This book dives deep into these technologies, guiding you to harness their full potential for real-world applications."LLM Engineering" is a comprehensive, hands-on guide for engineers, researchers, and AI enthusiasts who want to master the art of working with Large Language Models. This book covers the entire lifecycle of LLMs-from understanding foundational concepts to designing, deploying, and scaling them for industry-grade a mix of theoretical insights, practical examples, and real-world applications, this book equips you with the tools to build cutting-edge AI systems while addressing key challenges like efficiency, scalability, and Features Master the Foundations: Dive deep into the Transformer architecture, self-attention mechanisms, tokenization, and -On Projects: Build real-world applications, including chatbots, sentiment analysis tools, and text-to-image Fine-Tuning: Learn advanced techniques like LoRA, knowledge distillation, and quantization to optimize LLMs for specific Deployment: Discover how to deploy LLMs using FastAPI, Docker, and Kubernetes, ensuring high performance and and Compliance: Address bias, ensure fairness, and comply with data privacy regulations like GDPR and Trends: Explore the future of LLMs, including multimodal AI, personalized models, and sustainable AI you're a beginner eager to learn or an experienced professional seeking advanced strategies, this book offers valuable insights for all Coverage: This book bridges the gap between theory and practice, ensuring you understand not only how LLMs work but also how to implement them -World Focus: With case studies, exercises, and examples, you'll gain practical experience solving real-world problems with Ahead of the Curve: Learn cutting-edge techniques like multimodal AI, LoRA fine-tuning, and personalized models that will define the future of Insights: Each chapter ends with actionable steps, ensuring you can immediately apply what you learn to your with Precision: Written by an expert in LLMs, this book is both technically accurate and accessible to a wide the end of this book, you'll not only have the knowledge to build powerful AI systems but also the confidence to deploy them effectively in real-world scenarios. Transform your AI expertise today with "LLM Engineering"! Details ISBN-13 9798300452308 Title LLM Engineering Author Charles Sprinter Format Paperback Year 2024 Pages 172 Publisher Independently Published GEItemID:168970150; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
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