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Improving Retrieval with RAG Fine-tuning

Learn effective ways to adapt and optimize RAG models. This course will teach techniques for Fine-tuning RAG models using different methods, such as task-specific, domain adaptation, and multi-task fine-tuning.

Beginner
20m
(8)

Created by Dhiraj Kumar

Last Updated Aug 19, 2024

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  • Course

Improving Retrieval with RAG Fine-tuning

Learn effective ways to adapt and optimize RAG models. This course will teach techniques for Fine-tuning RAG models using different methods, such as task-specific, domain adaptation, and multi-task fine-tuning.

Beginner
20m
(8)

Created by Dhiraj Kumar

Last Updated Aug 19, 2024

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What you'll learn

Understand how to adapt and optimize RAG models.

In this course, Improving Retrieval with RAG Fine-tuning, you’ll gain the ability to fine-tune RAG models using various techniques. First, you’ll explore task-specific fine-tuning using BERT. Next, you’ll discover domain adaptation fine-tuning using GPT. Finally, you’ll learn multi-task fine-tuning using T5. When you finish this course, you’ll have the skills and knowledge to adapt and optimize RAG models for specific domains or datasets.

Improving Retrieval with RAG Fine-tuning
Beginner
20m
(8)
Table of contents

About the author
Dhiraj Kumar - Pluralsight course - Improving Retrieval with RAG Fine-tuning
Dhiraj Kumar
12 courses 3.7 author rating 54 ratings

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