Skip to content

An attempt to build a working, locally-running cheap version of Generative Agents: Interactive Simulacra of Human Behavior

License

Notifications You must be signed in to change notification settings

DanielTea/generative-agents

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Generative Large Language Models for Human-Like Behavior

This repository includes a working version of the type of model described in Generative Agents: Interactive Simulacra of Human Behavior.

Setup

The models are distributed as notebooks that are easy to run locally, or on Google Colab. We recommend the use of Jupyter Lab if running locally. The notebook(s) should work as-is on Google Colab.

Model

The current model is a simulation of the town of Phandalin from an introductory D&D 5e adventure. This setting is chosen as it is much more free form than the simple scenario described in the original paper.

Limitations

The model, as described in the paper, requires access to a very high quality instruction model such as GPT-3. However, the model also requires many high-context queries to work, making it expensive to run. As such, in this work we use low-parameter, locally runnable models instead.

We expect that with the advent of the next generation of instruction-tuned models, the model in this repo will perform better.

Future Steps

  • Summarize agent decisions as emojis.
  • Create a family of questions to compress agent contexts better.
  • Check if the agent contexts are compressed well with an another layer of prompts.

About

An attempt to build a working, locally-running cheap version of Generative Agents: Interactive Simulacra of Human Behavior

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 95.8%
  • Python 4.2%