Factored Cognition Primer

How to write compositional language model programs
You’ll learn how to:
  • Amplify language models like GPT-3 through recursive question-answering and debate
  • Reason about long texts by combining search and generation
  • Run decompositions quickly by parallelizing language model calls
  • Build human-in-the-loop agents
  • Use verification of answers and reasoning steps to improve responses
  • And more!
Example of a decomposition for reasoning about papers.
The book focuses on techniques that are likely to remain relevant for better language models.
How to cite this book
Please cite this book as:
A. Stuhlmüller and J. Reppert and L. Stebbing (2022). Factored Cognition Primer. Retrieved December 6, 2022 from
author = {Stuhlmüller, Andreas and Reppert, Justin and Stebbing, Luke},
title = {Factored Cognition Primer},
year = {2022},
howpublished = {\url{}},
urldate = {2022-12-06}
Last modified 1yr ago