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How I Study AI - Learn AI Papers & Lectures the Easy Way

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All SourcesarXiv
#Parametric memory

Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models

Intermediate
Shiting Huang, Zecheng Li et al.Feb 10arXiv

The paper teaches large language models to do what good students do: find where they went wrong, turn that lesson into a rule, and remember it for next time.

#Reinforcement Learning with Verifiable Rewards#RLVR#Meta-Experience Learning

Memory in the Age of AI Agents

Intermediate
Yuyang Hu, Shichun Liu et al.Dec 15arXiv

This survey explains how AI agents remember things and organizes the whole topic into three clear parts: forms, functions, and dynamics.

#Agent memory#LLM memory#Retrieval-augmented generation