Med-Gemini by Google: A Boon for Researchers, A Bane for Doctors
I’ve read all 58 pages of Google’s latest paper on its new LLM for medicine, and I have low expectations. Here’s my rebuttal.
Yesterday, Google published a new paper on fine-tuning its state-of-the-art (SoTa) multimodal LLM, called Gemini, for medical purposes, aptly naming it Med-Gemini.
In this article, while acknowledging the achievements presented in the paper, I primarily offer a rebuttal. I’m curious to learn what the authors think about my critiques.
First, it’s important to note that there was another paper on a very similar topic titled “Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations,” published by researchers from India in February 2024.
Second, I still can’t get over the fact that, true to Google’s tradition, the Med-Gemini paper lists 71(!) co-authors. Call me old-fashioned, but I find that excessive.
Third, I’m mesmerized by the ongoing race for what I call “theoretical” accuracy with new LLMs. However, there has been virtually zero progress in what I call “practical” accuracy.
…continue reading on sergeiAI.substack.com.
👉👉👉👉👉 Hi! My name is Sergei Polevikov. I combine my knowledge of AI models with my unique skills in analyzing the financial health of digital health companies, no pun intended. 😊 I never sugarcoat or filter the hard truth. Subscribe to my newsletter at sergeiAI.substack.com, follow me, support my work and join a vibrant community of healthcare AI enthusiasts! Your engagement matters. 🙏🙏🙏🙏🙏
