diff --git a/index.html b/index.html index 011229f969..bd49f4269c 100644 --- a/index.html +++ b/index.html @@ -32,7 +32,13 @@

MemGPT: Towards LLMs as Operating Systems

- Charles Packer + Charles Packer, + Vivian Fang, + Shishir G. Patil, + Kevin Lin, + Sarah Wooders, + Joseph E. Gonzalez +

UC Berkeley
@@ -41,8 +47,8 @@
UC Berkeley

- Paper (Coming Soon) - Discord + Paper + Discord GitHub

@@ -62,7 +68,7 @@

Teach LLMs to manage their own memory for unbounded cont
MemGPT system overview In MemGPT, a fixed-context LLM is augmented with a tiered memory system and a set of functions that allow it to manage its own memory. - The LLM takes as input the text in main context (capped at the size of the standard LLM context window), and outputs text that + The LLM inputs text in it's main context (capped at the size of the standard LLM context window), and outputs text that is interpreted by a parser, resulting either in a yield or a function call. MemGPT uses functions to move data between main context and external context. When the LLM generates a function call, it can request immediate return of execution to chain together functions. In the case of a yield, the LLM will not be run again until the next external @@ -122,9 +128,9 @@

Abstract

Citation

@inproceedings{packer2023memgpt,
-   title={{MemGPT}: Towards LLMs as Operating Systems}
+   title={{MemGPT}: Towards LLMs as Operating Systems},
  author={Packer, Charles and Fang, Vivian and Patil, Shishir G.
-   and Lin, Kevin and Wooders, Sarah and Gonzalez, Joseph E.}
+   and Lin, Kevin and Wooders, Sarah and Gonzalez, Joseph E.},
  year={2023}
}