Summary

  • Midjourney, the AI image generating company, has released a new research paper in collaboration with New York University (NYU) about training text-based large language models (LLMs) to improve creative output
  • Two new techniques were introduced, Diversified Direct Preference Optimization and Diversified Odds Ratio Preference Optimization, which are designed to increase the range of outputs while maintaining readability
  • The paper highlights that there is still scope for improvement in creative text-based LLMs, which to date have struggled to produce writing with multiple possible outputs and repetition of themes
  • The study used two base models, Meta’s Llama-3.1-8B and Mistral-7B-v0.

By Carl Franzen

Original Article