Memory Augmented Large Language Models are Computationally Universal

10 January 2023

Papers citing "Memory Augmented Large Language Models are Computationally Universal"

5 / 5 papers shown

Title
ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory Chenxu Hu Jie Fu Chenzhuang Du Simian Luo J. Zhao Hang Zhao KELM LLMAG 22 104 0 06 Jun 2023
Applying Standards to Advance Upstream & Downstream Ethics in Large Language Models Jose Berengueres Marybeth Sandell 17 0 0 06 Jun 2023
Language Models can Solve Computer Tasks Geunwoo Kim Pierre Baldi Stephen Marcus McAleer LLMAG LM&Ro 17 336 0 30 Mar 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022