AI BriefingLG AI Research 300
Key point
Introduces the latest research trends in generative models (SGM) and LLMs presented at NeurIPS 2022.
Details
This covers the latest research trends in Score-based Generative Modeling (SGM), which drew attention at NeurIPS 2022. In particular, research on high-order solvers such as DPM-solver and GENIE is central to improving SGM's drawback of slow sampling speed.
Also, research defining SGM on various spaces (such as Riemannian geometry) or applying it to downstream tasks like Super-resolution or Inpainting without additional training has also established itself as a major trend.
In the Large Language Models (LLM) field, DeepMind's research analyzing the optimal correlation between model size and data amount within limited computing resources was introduced. This focuses on finding the optimal model scale that can maximize performance within given FLOPs.
This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.
Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.