Summary of Changes

Hello @HYLcool, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the human-in-the-loop capabilities by introducing a comprehensive and runnable example for Direct Preference Optimization (DPO). It provides all necessary components, including data, configurations, and updated documentation, to demonstrate how human preferences can be integrated into the DPO training pipeline. Additionally, it improves the flexibility of the task pipeline and adds robustness to data processing utilities.

Highlights

• New Human-in-the-Loop DPO Example: A complete example for DPO (Direct Preference Optimization) with human-in-the-loop data processing has been added, including a dedicated README, sample data, and configuration files.
• Documentation Update: The tutorial documentation has been updated to reflect the new human-in-the-loop example, providing clearer guidance and links to relevant configuration files.
• Task Pipeline Flexibility: The task pipeline logic has been refined to remove the restriction that it's only available in 'explore' or 'both' modes, and its output can now be derived from the trainer's experience buffer.
• Robustness Improvements: Checks have been added in data processing utilities to ensure the presence of 'Fields.stats' before attempting to access it, preventing potential errors.

Code Review

This pull request updates the 'human in the loop' example by adding a new DPO example with necessary configuration, data, and documentation. The changes also include modifications to the task pipeline and configuration handling to support this new workflow. My review focuses on ensuring the new example is correct and runnable. I've found a few issues, mainly incorrect paths and links in the documentation and configuration files, which could prevent users from running the example successfully. I've also suggested some improvements to comments for better clarity.