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Improving Retrieval with RAG Fine-tuning

Offered By: Pluralsight

Tags

Retrieval Augmented Generation (RAG) Courses Machine Learning Courses BERT Courses Multi-Task Learning Courses T5 Courses Domain Adaptation Courses Fine-Tuning Courses Retrieval Augmented Generation Courses

Course Description

Overview

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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.

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.

Syllabus

  • Adapt and Fine-tune RAG models 20mins

Taught by

Dhiraj Kumar

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