AWS brings RAG evaluation and LLM-as-a-judge feature to Amazon Bedrock
Briefly

from InfoWorld2 months ago
Amazon has introduced an automatic knowledge base evaluation feature for RAG applications using Amazon Bedrock, which leverages a large language model to compute relevant metrics.
InfoWorldhttps://www.infoworld.com/article/3615426/aws-brings-rag-evaluation-and-llm-as-a-judge-feature-to-amazon-bedrock.html
This evaluation tool empowers enterprises to compare various configurations and fine-tune their settings, optimizing performance for specific use cases effectively.
InfoWorldhttps://www.infoworld.com/article/3615426/aws-brings-rag-evaluation-and-llm-as-a-judge-feature-to-amazon-bedrock.html
To conduct these evaluations, users can easily access the Amazon Bedrock console, selecting Evaluations from the Inference and Assessment section, streamlining the process.
InfoWorldhttps://www.infoworld.com/article/3615426/aws-brings-rag-evaluation-and-llm-as-a-judge-feature-to-amazon-bedrock.html
The incorporation of LLMs in the evaluation process marks a significant advancement in optimizing knowledge bases, enabling businesses to enhance their applications intelligently.
InfoWorldhttps://www.infoworld.com/article/3615426/aws-brings-rag-evaluation-and-llm-as-a-judge-feature-to-amazon-bedrock.html
Read at InfoWorld
#amazon-bedrock #rag-applications #knowledge-base-evaluation #enterprise-optimization #ai-technologies
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