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MLflow Blog3. Februar 2026
MemAlign: Building Better LLM Judges From Human Feedback With Scalable Memory
Zusammenfassung
MemAlign, a new framework for aligning LLMs with human feedback, is now available, offering competitive or better quality than state-of-the-art prompt optimizers at significantly lower cost and latency. It achieves this through a lightweight dual-memory system, making it a valuable tool for building better LLM judges.
Introducing MemAlign, a new framework that aligns LLMs with human feedback via a lightweight dual-memory system, achieving competitive or better quality than state-of-the-art prompt optimizers, at orders-of-magnitude lower cost and latency.