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Improving Retrieval with RAG Fine-tuning

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oaxino

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Improving Retrieval with RAG Fine-tuning


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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.

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KatzSec DevOps

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oaxino salamat sa pag contribute. Next time always upload your files sa
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para siguradong di ma dedeadlink. Let's keep on sharing to keep our community running for good. This community is built for you and everyone to share freely. Let's invite more contributors para mabalik natin sigla ng Mobilarian at tuloy ang puyatan. :)
 
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