Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...
The ‘doorway effect’ suggests that when information is removed from working memory, it immediately seems to leave ...
The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...
Abstract: Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field demonstrating significant potential in creating diverse content intelligently and automatically. To support ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
Abstract: Information and communication technology (ICT) has been an essential part of modern society. However, the current communication systems are not sufficient to meet the demands of emerging ...
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