Large language models rely on complex technology, but a plain English tutorial makes it clear that they use math, not magic to render their impressive results.
“Filter Bubbles”: The Quest to Prevent Algorithms from Running Amok
It’s not just social media sites that reinforce users’ prejudices and belief systems by feeding them stories catering to their viewpoints; healthcare algorithms can also create “echo chambers,” according to Mayo Clinic Platform researchers, who examine the issue in this piece. Fortunately, there are alternatives.
Addressing “Shortcomings”: How AI Can Help Predict the Onset of Sepsis
Is the Future of AI in Good Hands?
“A Profound Impact”: How NLP Fits into the Digital Health Ecosystem
“A Step in the Right Direction”: How Prompt Engineering Can Improve GenAI
Generative AI Benefits: We’ve Barely Scratched the Surface
“Data Behind Glass”: Exploring a Federated Model for Data Management
Is It Time to Incorporate Large Language Models into EHRs?
“Proceed with Humility”: The Keys to Moving Forward with Generative AI
Large language models offer great potential for improving care and efficiency, but “that must be done within guardrails and guidelines so that we do no digital harm,” said Paul Cerrato and John Halamka, MD. In this piece, they discuss the key components for successful development and deployment of AI tools.