SPPO (Self-Play Preference Optimization)

Summary
SPPO is a self-play-based method for language model alignment. It focuses on improving language models by directly working with preference probabilities. The implementation is available on GitHub, along with a research paper detailing the approach.
Rationale
The candidate, SPPO, is an implementation for language model alignment using self-play preference optimization. It aligns with the 'Conversational AI' feature as it focuses on improving language models. The mention of code implementation and the availability of the code on GitHub indicates 'API Access' and 'Code Generation' capabilities. The focus on preference optimization and language model alignment suggests alignment with the 'Safety & Alignment Framework'. The paper and model availability point to 'Research & Publications'. The abstract mentions adapting models, suggesting 'Fine-Tuning & Custom Models'.
Features
Must Have

Conversational AI

API Access

Safety & Alignment Framework

Fine-Tuning & Custom Models

Other

Code Generation

Research & Publications