--- title: "MemAlign: Building Better LLM Judges From Human Feedback With Scalable Memory" url: https://daily.dev/posts/memalign-building-better-llm-judges-from-human-feedback-with-scalable-memory-ocsscpha4 source_url: http://mlflow.org/blog/memalign type: article source: "mlflow" published: 2026-02-12T02:38:13.922Z updated: 2026-02-12T02:38:37.863Z tags: ["machine-learning", "llm", "prompt-engineering"] reading_time: 12 upvotes: 5 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # MemAlign: Building Better LLM Judges From Human Feedback With Scalable Memory **[mlflow](https://daily.dev/sources/MLflow)** · 12 min read · 5 upvotes · 0 comments ## Summary MemAlign is a new framework for aligning LLM judges with human feedback using a dual-memory system (semantic and episodic). It learns from small amounts of natural language feedback rather than requiring hundreds of labeled examples. Benchmarks show it achieves competitive or better quality than state-of-the-art prompt optimizers like DSPy's MIPROv2, SIMBA, and GEPA, while being orders of magnitude faster (seconds vs. minutes) and cheaper ($0.03 vs. $1-5). The system exhibits "memory scaling" where quality improves as feedback accumulates without re-optimization. MemAlign is now available in open-source MLflow and works with various LLMs, showing meaningful improvement with just 2-10 examples. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Using MemAlign to Improve Evaluation of Traditional Machine Learning in Genie Code](https://daily.dev/posts/using-memalign-to-improve-evaluation-of-traditional-machine-learning-in-genie-code-tgesvlcyt) · databricks · 1 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#llm](https://daily.dev/tags/llm), [#prompt-engineering](https://daily.dev/tags/prompt-engineering) [View this post on daily.dev](https://daily.dev/posts/memalign-building-better-llm-judges-from-human-feedback-with-scalable-memory-ocsscpha4)