A blueprint architecture integrating ingestion, continual learning, retrieval, and feedback is claimed to improve LLM latency-cost-freshness, without supporting experimental detail.
Language models are few-shot learners,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2026 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Unleashing the Potential of Large Language Models: A Blueprint for Real-Time, Enterprise-Ready Deployments
A blueprint architecture integrating ingestion, continual learning, retrieval, and feedback is claimed to improve LLM latency-cost-freshness, without supporting experimental detail.