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Federated Learning and Privacy-preserving RAGs

Via Pluralsight

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Overview

More and more organizations would like to implement Retrieval-Augmented Generation (RAG) solutions to enhance their customer experience integrating privacy-preserving techniques ensuring data security and regulatory compliance. In this course, Federated Learning and Privacy-preserving RAGs, you’ll learn to design and implement advanced AI systems that prioritize data privacy without sacrificing performance. First, you’ll explore the fundamentals of federated learning, including its principles and how it enables decentralized data processing. Next, you’ll discover how to integrate privacy-preserving techniques into RAG models, such as...

Syllabus

Evaluating RAG Solutions

  • Course Overview | 1m 56s
  • Federated Learning | 1m 54s
  • Federated Learning for RAG | 4m 28s
  • Privacy-preserving Techniques in Federated Learning | 4m 19s
  • Privacy-preserving RAG in Federated Learning | 2m 17s
  • Summary | 1m 7s
Federated Learning and Privacy-preserving RAGs
Go to Class

via Pluralsight

16 minutes

Certificate Available

English

On-Demand

Beginner

Instructor

Luca Berton

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