Improving Retrieval with RAG Fine-tuning

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Improving Retrieval with RAG Fine-tuning

Published 8/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 75.50 MB | Duration: 20m 9s

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.

Homepage:

https://www.pluralsight.com/courses/improving-retrieval-rag-fine-tuning

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