menu
{ "item_title" : "Mastering Generative AI", "item_author" : [" Rajni Singh "], "item_description" : "This book offers a practical, end-to-end guide to Generative AI System Design, blending core concepts with real-world applications. Key topics include: GenAI & ML Foundations: Neural networks, transformers, attention mechanisms, and tokenization.Model Efficiency: Techniques like parallelism, quantization, pruning, and knowledge distillation.Core Components: Embeddings, scene graph generation, text-to-phoneme conversion, and more.Design Framework: A structured 7-step approach for building scalable GenAI systems.System Blueprints: Detailed system design for Text-to-Text, Text-to-Speech, Text-to-Image, and Text-to-Video generation.Tech Stack: Overview of GenAI frameworks, infrastructure, and tools.Interview Prep: Tips, resources, and AI-driven evaluation for system design interviews.Future Trends: Responsible AI, GenAI for low-power devices, and next-gen models.Case Studies: Real-world GenAI application", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/831/911/9798319119230_b.jpg", "price_data" : { "retail_price" : "23.99", "online_price" : "23.99", "our_price" : "23.99", "club_price" : "23.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering Generative AI|Rajni Singh

Mastering Generative AI : Design Patterns Frameworks Real-World Applications

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book offers a practical, end-to-end guide to Generative AI System Design, blending core concepts with real-world applications. Key topics include: GenAI & ML Foundations: Neural networks, transformers, attention mechanisms, and tokenization.
Model Efficiency: Techniques like parallelism, quantization, pruning, and knowledge distillation.
Core Components: Embeddings, scene graph generation, text-to-phoneme conversion, and more.
Design Framework: A structured 7-step approach for building scalable GenAI systems.
System Blueprints: Detailed system design for Text-to-Text, Text-to-Speech, Text-to-Image, and Text-to-Video generation.
Tech Stack: Overview of GenAI frameworks, infrastructure, and tools.
Interview Prep: Tips, resources, and AI-driven evaluation for system design interviews.
Future Trends: Responsible AI, GenAI for low-power devices, and next-gen models.
Case Studies: Real-world GenAI application

This item is Non-Returnable

Details

  • ISBN-13: 9798319119230
  • ISBN-10: 9798319119230
  • Publisher: Independently Published
  • Publish Date: April 2025
  • Dimensions: 9 x 6 x 0.7 inches
  • Shipping Weight: 1 pounds
  • Page Count: 338

Related Categories

You May Also Like...

    1

BAM Customer Reviews