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Improving Retrieval with RAG Fine-tuning

by Dhiraj Kumar

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.

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.

About the author

Dhiraj is a Data Scientist and AWS-certified online trainer in Python, machine learning, deep learning, artificial intelligence, Java, C#, ASP.NET, AZURE, and AWS.

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