Improving Retrieval with RAG Fine-tuning
Improving Retrieval with RAG Fine-tuning
Released/Updated: Aug 19, 2024
Duration: 20m 9s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 74 MB
Genre: eLearning | Language: English
Released/Updated: Aug 19, 2024
Duration: 20m 9s | .MP4 1920x1080, 30 fps(r) | AAC, 48000 Hz, 2ch | 74 MB
Genre: eLearning | Language: English
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.
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