NarrateAI: production-ready LLM quality assurance on Amazon Bedrock
NarrateAI: production-ready LLM quality assurance on Amazon Bedrock
NarrateAI uses five techniques on Amazon Bedrock to achieve around 99% numerical accuracy with real-time streaming responses for over 4,000 AWS executives: adaptive pipeline orchestration, cross-account multi-model failover, real-time streaming evaluation, a composite evaluation framework and data-accuracy validation. Around 90% of queries take a single-pass fast path; only about 10% use parallel batch processing.
Selection record
Not admittedSum of both 65 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：详述LLM质量保障与Agent生产部署
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com