A blueprint architecture integrating ingestion, continual learning, retrieval, and feedback is claimed to improve LLM latency-cost-freshness, without supporting experimental detail.
Mitigating catastrophic forgetting in online continual learning by modeling previous task interrelations via Pareto optimization,
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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.