Best Practices for LLM Evaluation of RAG Applications
✦ NabkaNews BriefAuto-summarized from multiple outlets · verify with the source
There are reports and guides on best practices for evaluating large language models (LLMs) in relation to retrieval-augmented generation (RAG) applications. Various outlets are sharing lessons learned, metrics, and testing techniques for high-performance LLM applications, as well as security considerations. The topic appears to be of interest to multiple companies and organizations, including Amazon Web Services, NVIDIA, and Databricks, among others.
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wiz.io·Feb 272
Neo4j·Oct 173
Medium·Sep 234
towardsdatascience.com·Dec 195
Amazon Web Services (AWS)·Mar 146
NVIDIA Developer·Jan 297
Databricks·Oct 318
analyticsindiamag.com·Dec 24
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Evaluating RAG applications with Amazon Bedrock knowledge base evaluation | Amazon Web Services
Amazon Web Services (AWS)·Mar 14