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(Page créée avec « == EN CONSTRUCTION == == Définition == xxxxx == Français == '''LightMem''' == Anglais == '''LightMem''' Lightweight and Efficient Memory-Augmented Generation A memory system for Large Language Models that addresses the significant computational overhead of existing memory architectures. The system draws inspiration from human memory processes to create a more efficient approach to storing and retrieving information during extended conversations. By impl... »)
 
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'''LightMem'''
'''LightMem'''


Lightweight and Efficient Memory-Augmented Generation
''' Lightweight and Efficient Memory-Augmented Generation'''
 
A memory system for Large Language Models that addresses the significant computational overhead of existing memory architectures. The system draws inspiration from human memory processes to create a more efficient approach to storing and retrieving information during extended conversations. By implementing a three-stage memory architecture similar to human cognition, LightMem achieves substantial improvements in both performance and efficiency.
<!-- Memory management framework that minimizes redundancy while preserving information and reducing computational costs of LLMs by creating an external memory of user interactions.
 
LightMem, a memory system inspired by human memory, enhances LLMs by efficiently managing historical interaction information, improving accuracy and reducing computational costs.
It introduces critical ethical challenges to user privacy and the memory can also absorb and perpetuate biases or misinformation from user input.-->


==Sources==
==Sources==
[https://huggingface.co/papers/2510.18866  Sources :  huggingface]
[https://arxiv.org/abs/2510.18866  Source : arxiv]
 
[https://github.com/zjunlp/LightMem  Source : GitHub]
 
[https://huggingface.co/papers/2510.18866  Source :  huggingface]




[[Catégorie:vocabulary]]
[[Catégorie:vocabulary]]

Dernière version du 23 février 2026 à 14:04

EN CONSTRUCTION

Définition

xxxxx

Français

LightMem

Anglais

LightMem

Lightweight and Efficient Memory-Augmented Generation


Sources

Source : arxiv

Source : GitHub

Source : huggingface

Contributeurs: Arianne Arel, wiki