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{ "item_title" : "Large Language Models", "item_author" : [" Chad Scott "], "item_description" : "Large Language Model: A Practical Handbook for Designing, Building, and Deploying Efficient LLMs from ScratchUnlock the power of Large Language Models (LLMs) with this step-by-step guide that simplifies complex concepts into actionable insights. Whether you're a beginner or an AI enthusiast, this book equips you with the knowledge to design, train, and deploy state-of-the-art LLMs, empowering you to master real-world AI applications.Why This Book?Unlike other resources, this book emphasizes efficiency, scalability, and hands-on implementation, bridging the gap between theory and practice. With practical examples, clear instructions, and advanced topics like reinforcement learning and retrieval-augmented generation, it's your ultimate guide to building robust AI systems.What You'll Learn:Understand LLM Basics: Grasp core concepts, architectures, and applications.Build Efficient LLMs: Learn to design scalable models optimized for real-world use.Master Data Pipelines: Preprocess and manage large-scale text data effectively.Train Models from Scratch: Develop and fine-tune your own LLMs.Optimize Inference: Implement quantization and compression techniques for faster deployment.Deploy at Scale: Use cloud platforms and distributed systems for production-ready models.Explore Cutting-Edge Topics: Dive into RLHF, RAG pipelines, and more.Operationalize with MLOps: Apply best practices for continuous monitoring and updates.Unique Features:Comprehensive coverage from foundational concepts to advanced techniques.Hands-on examples and templates for practical implementation.Focus on efficiency and scalability to reduce deployment costs.Insights into ethical AI practices and emerging trends.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/830/634/9798306347097_b.jpg", "price_data" : { "retail_price" : "15.51", "online_price" : "15.51", "our_price" : "15.51", "club_price" : "15.51", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Large Language Models|Chad Scott

Large Language Models : A Practical Handbook for Designing, Building and Deploying Efficient LLMs from scratch

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Overview

Large Language Model: A Practical Handbook for Designing, Building, and Deploying Efficient LLMs from Scratch

Unlock the power of Large Language Models (LLMs) with this step-by-step guide that simplifies complex concepts into actionable insights. Whether you're a beginner or an AI enthusiast, this book equips you with the knowledge to design, train, and deploy state-of-the-art LLMs, empowering you to master real-world AI applications.

Why This Book?

Unlike other resources, this book emphasizes efficiency, scalability, and hands-on implementation, bridging the gap between theory and practice. With practical examples, clear instructions, and advanced topics like reinforcement learning and retrieval-augmented generation, it's your ultimate guide to building robust AI systems.

What You'll Learn:
  • Understand LLM Basics: Grasp core concepts, architectures, and applications.
  • Build Efficient LLMs: Learn to design scalable models optimized for real-world use.
  • Master Data Pipelines: Preprocess and manage large-scale text data effectively.
  • Train Models from Scratch: Develop and fine-tune your own LLMs.
  • Optimize Inference: Implement quantization and compression techniques for faster deployment.
  • Deploy at Scale: Use cloud platforms and distributed systems for production-ready models.
  • Explore Cutting-Edge Topics: Dive into RLHF, RAG pipelines, and more.
  • Operationalize with MLOps: Apply best practices for continuous monitoring and updates.
Unique Features:
  • Comprehensive coverage from foundational concepts to advanced techniques.
  • Hands-on examples and templates for practical implementation.
  • Focus on efficiency and scalability to reduce deployment costs.
  • Insights into ethical AI practices and emerging trends.

This item is Non-Returnable

Details

  • ISBN-13: 9798306347097
  • ISBN-10: 9798306347097
  • Publisher: Independently Published
  • Publish Date: January 2025
  • Dimensions: 9 x 6 x 0.41 inches
  • Shipping Weight: 0.59 pounds
  • Page Count: 194

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