Customizing foundation models on Amazon SageMaker | Step 6: Retrieval Augmented Generation (RAG)
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Опубликовано 24 июля 2024, 15:37
To equip the FM with new knowledge not included in the pre-training dataset, you can use RAG, a technique that involves fetching data from company data sources and enriching the prompt with that data to deliver more relevant and accurate responses. In this video, we will show you build a RAG system on SageMaker.
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Learn more at: go.aws/3X7Sjft
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing
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