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Introduction to Retrieval Augmented Generation
Introduction to Retrieval Augmented Generation – Digital Download
🚨 "Boost AI Accuracy with RAG – Real-Time Knowledge for Better Results"
 
🚀 Overview
Join this 90-minute interactive webinar led by Ms. Neena Sathi, an AI expert with over 35 years of industry experience at IBM and KPMG. Neena is a pioneer in AI-driven business transformation and customer engagement. This video explores how Retrieval-Augmented Generation (RAG) improves large language model (LLM) accuracy by integrating real-time information from external sources. It covers RAG techniques, use cases, and alternative approaches to augment generative AI models with up-to-date and domain-specific knowledge.
 
🎯 Key Learning Objectives
  • Understand LLM limitations and why RAG is necessary
  • Learn how to enhance generative models with external data
  • Explore different retrieval methods (search, embeddings, vector databases)
  • Evaluate and compare various RAG strategies
 
👥 Who Should Attend
  • AI developers and data scientists
  • Business leaders implementing AI solutions
  • AI/ML researchers
  • Technology consultants
 
🎯 Expected Outcomes
  • Enhanced understanding of LLM limitations and solutions
  • Ability to implement RAG to improve AI accuracy and relevance
  • Practical experience in designing RAG-based AI models
  • Insight into different retrieval and augmentation strategies

Introduction to Retrieval Augmented Generation

$5.00Price
Excluding Sales Tax
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