Augmenting clinical reasoning, without replacing it
On building AI tools that supercharge physicians' thinking while keeping them in control
m3 | music, medicine, machine learning
thoughts from the intersection of my interests
Dormant Last read · last published · next check
Read 6 days ago and current, but nothing has been published for 13 months.
Latest posts
The Human → AI Reasoning Shunt
Thoughts on AI systems that can reason alongside users, rather than taking all reasoning over
Using LLMs to Improve Information Retrieval
vs. using Information Retrieval to improve LLMs
Example-Driven Development
A popular technique for interacting with Large Language Models such as ChatGPT is Few-Shot Prompting: providing a few examples of the desired task as part of the prompt, effectively providing the model a guide for how to structure its responses. Recently, I’ve taken this framework of “providing some examples” to ChatGPT to a larger scale — on the scale of many files often spanning multiple…
Large Language Models for Clinical Applications: Part 1
Insights and considerations about the clinical applicability of LLMs, and the importance of domain knowledge in guiding these systems
"Semantic Macros" with Emacs + GPT
Finding the Goldilocks level of complexity for GPT-3 tasks
Improving by "giving up" skill: Lessons from Tabla in Medicine
Several years ago, I had the opportunity to spend a few hours learning Tabla from a senior disciple of the instrument.
LLMs that “store knowledge” — thoughts from a clinical learning perspective
Some brief, off-the-cuff thoughts around this tweet I came across a few weeks back, specifically regarding of how I utilize knowledge and context together in a clinical setting —
On the Relationship Between Memorizing and Understanding
All throughout studying Computer Science in undergrad, I believed memorization was orthogonal at best, and actively detrimental at worst, to actually understanding something.