justin_dan

We want to advance process-based supervision for language models. To make it easier for others to contribute to that goal, we're sharing code for writing compositional language model programs, and a tutorial that explains how to get started:

• The Interactive Composition Explorer (ICE) is a library for writing and debugging compositional language model programs.
• The Factored Cognition Primer is a tutorial that explains using examples how to write such programs.

We've been using ICE as part of our work on Elicit and have found it useful in practice.
 

Interactive Composition Explorer (ICE)

ICE is an open-source Python library for writing, debugging, and visualizing compositional language model programs. ICE makes it easy to:

1. Run language model recipes in different modes: humans, human+LM, LM
2. Inspect the execution traces in your browser for debugging
3. Define and use new