Improving Retrieval with RAG Fine-tuning

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[img]https://i123.fastpic.org/big/2024/0827/56/e56f92f0477fe71dcd56bc455a911556.png[/img]

[b]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[/b]

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.


[b]HOMEPAGE[/b]

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

[b]DOWNLOAD [/b]

[code] https://rapidgator.net/file/0ec1a4dc0def42baa1d088535f8fb9cf/Improving_Retrieval_with_RAG..rar.html

https://ddownload.com/ubtd0z2fgsox/Improving_Retrieval_with_RAG..rar
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