Understand the project
Practical overview
When it fits
Use PRELUDE when you want a Python codebase for investigating edit-driven preference learning in LLM agents, particularly in summarization or email-writing experiments.
Who it is for
- Researchers studying preference learning from user corrections.
- Developers implementing custom LLM agents with completion and learning methods.
- Experimenters comparing agent approaches on summarization or email-writing tasks.
Documented uses
- Prototype an agent that uses user edits to learn preferences.
- Configure task examples, random seeds and data sources for experiments.
- Reproduce the repository’s paper experiments using its agents and experiment scripts.
- Implement a custom agent using the framework’s completion and learning interface.
Before you choose
Requirements & limits
The public repository identifies the project as MIT-licensed.
- The included task implementations are content summarization and email writing.
- The user component requires TaskConfig and UserConfig, including an LLM model name.
- The documented setup uses Python 3.6, recommends Conda, and requires dependencies plus PyTorch.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Source-based practical guide
Install the PRELUDE development environment
Prepare the documented Python environment and install project dependencies and PyTorch.
Before you start
- Python 3.6
- Conda is recommended for creating a virtual environment
- The repository’s requirements.txt file
- PyTorch
Steps
Create a Python 3.6 environment; the project recommends using Conda.
Install the dependencies with pip install -r requirements.txt.
Install PyTorch using the instructions at pytorch.org.
Expected outcome
The documented environment and dependencies are installed for working with the PRELUDE codebase.
Guide limitations
- These are setup instructions; they do not specify how to run a particular experiment.
- No compatibility guarantee is stated.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 16 October 2026
- Original website title
- gao-g/prelude · Official homepage title · retained in its source language