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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.
Last modified 16d ago