WEEKLY AI NEWS: RESEARCH, NEWS, RESOURCES, AND PERSPECTIVES

ML news: Week Week 27 November — 3 December

Salvatore Raieli
14 min readDec 4, 2023

LLMs for biology, brain-like neural networks, OpenAI new board, and much more

ML news
Photo by Filip Mishevski on Unsplash

The most interesting news, repository, articles, and resources of the week

Check and star this repository where the news will be collected and indexed:

You will find the news first in GitHub. Single posts are also collected here:

Weekly AI and ML news - each week the best of the field

16 stories

Research

  • SegVol: Universal and Interactive Volumetric Medical Image Segmentation. Clinical analysis has entered a new era with the release of SegVol, a universal model for medical picture segmentation. SegVol is highly proficient at segmenting a wide range of anatomical categories, having been trained on a large set of CT images. official code.
  • Visual In-Context Prompting. This novel strategy supports a variety of cues and environments, significantly improving performance in segmentation tasks and demonstrating outstanding outcomes in open-ended challenges. official code.
  • Starling-7B: Increasing LLM Helpfulness & Harmlessness with RLAIF. Researchers at Berkeley used synthetic preference data to train a brand-new, cutting-edge 7B parameter model. This blog discusses the unique difficulties in training reward models (such as how an example’s score might change depending on where it is in the list) and how they overcome them. Both the training reward model and the generated model are made public.
  • Segmentation-Based Parametric Painting. A novel method has been devised by researchers to convert pictures into paintings that emulate human characteristics and aesthetics.

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Salvatore Raieli

Senior data scientist | about science, machine learning, and AI. Top writer in Artificial Intelligence