I keep a list of LLM-driven startups in healthcare. Most of what I track falls into two buckets: Operations (scheduling, billing, prior auth) and Clinical (scribes, summarization, care...

I first heard Ethan Mollick on The Ezra Klein Show in April 2024 (“How Should I Be Using A.I. Right Now?”). He offered sensible, practical ways to use...

Dharmesh’s post made me realize there’s a name for something I’ve been doing implicitly for a while—using AI to help me write better prompts. Strictly speaking, that’s AI-assisted...

It’s easy to feel the immense transformational capacity of Generative AI as a solution. And healthcare has no shortage of problems to solve. The real insight is in...

Large Language Models (LLMs) like ChatGPT can handle two aspects of communication very well: plausibility and fluency. Given an input context they determine what are the most probable...

A few months ago my curiosity around how-are-LLMs-‘learning’ took me down the rabbit hole of AI and Psychology history and I ended up finding a string of very...

The first 10 minutes of this Stanford CS224N lecture explained NLU, NLG and the tasks within and it was helpful. Natural Language Understanding (NLU) is a subset of NLP...

As explained in this Stanford CS50 tech talk, Language Models (LMs) are basically a probability distribution over some vocabulary. For every word we give an LM, it can...

I recently heard Jeff Bezos briefly talk about his views on LLMs here. Less than a minute into the conversation, he said something that struck a chord with...