Machine Learning for MDs Weekly Digest

What’s New in ML for MDs

Welcome to the ML for MDs Newsletter. The mission of ML for MDs is to connect physicians interested in machine learning. This newsletter provides the most relevant news, journal articles, and jobs at the intersection of medicine and machine learning. 

Fun Facts

• The earliest case of data visualization being used to influence public policy was around getting better sanitary conditions for British soldiers.
• An AI-powered software was created that could predict the results of the Oscars with 90% accuracy.

This Week’s Top Stories

Weekly summary

The open-source world is growing quickly; below is a short list of some of the most well-known models/tools in order of release. 

Tool	Release date	Developer	Notes
LLaMA	2/24/23	Facebook/Meta	Stated goal to democratize AI; access granted by permission
OpenAssistant	3/8/23	LAION-AI	Open-source chat-based LLM, can interact with Google Search
Alpaca	3/13/23	Stanford, based on LLaMa	Open-source, designed to perform well on instruction-following tasks, cheap, easy to reproduce
Vicuna	4/23	UC Berkeley, CMU, Stanford, UCSD	Quality comparable to ChatGPT, more detailed/structured than Alpaca
Koala	4/3/23	BAIR	Based on LLaMa, designed to be more easily interpretable than other LLMs
Pythia	4/23	EleutherAI	16 different models from 70M to 12B parameters trained with the same data to allow for comparisons
StableLM	4/19/23	StableLM	Open-source, 3B and 7B parameters, can generate text and code
OpenChatKit	4/5/23	Together	Open-source, built on the GPT-4 architecture in 3B, 6B, 12B parameters
GPT4All	5/23	Nomic AI	Open-source GUI to run open-source training models on your laptop without coding and minimal processing power requirements

Community News

• If you haven’t introduced yourself, please do so under the #intros channel. 

Thanks for being a part of this community! As always, please let me know if you have questions/ideas/feedback.

Sarah

Sarah Gebauer, MD

MlforMDs.com