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Опубликовано 18 июля 2024, 16:30
The Amazon Lex QnAIntent enables developers to securely connect foundation models (FM) to company data for Retrieval Augmented Generation (RAG).
This video details three new enhancements to the QnAIntent:
-Multiple QnAIntents in the same bot
-Meta-data filters
-Model inference parameters
The session attributes used in this video are:
x-amz-lex:bkb-retrieval-filter
x-amz-lex:qnA-llm-text-inference-config
Learn more at: go.aws/home
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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 #Lex #Bedrock #Chatbot #RAG
This video details three new enhancements to the QnAIntent:
-Multiple QnAIntents in the same bot
-Meta-data filters
-Model inference parameters
The session attributes used in this video are:
x-amz-lex:bkb-retrieval-filter
x-amz-lex:qnA-llm-text-inference-config
Learn more at: go.aws/home
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 #Lex #Bedrock #Chatbot #RAG
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