|
You are here |
tomtunguz.com | ||
| | | | |
richb.rice.edu
|
|
| | | | | ||
| | | | |
andrewmayne.com
|
|
| | | | | A recent paper The Reversal Curse points out an apparent failure in large large language models like GPT-4. From the abstract: We expose a surprising failure of generalization in auto-regressive large language models (LLMs). If a model is trained on a sentence of the form "AisB", it will not automatically generalize to the reverse direction... | |
| | | | |
erik.wiffin.com
|
|
| | | | | Executive Summary A major academic medical center faced challenges with high patient no-show rates for scheduled surgical procedures, leading to suboptimal utilization of limited operating room capacity and lost revenue opportunities. To address this problem, I was contracted to develop a machine learning model to predict the likelihood of patient no-shows. By integrating this predictive capability into their scheduling workflows, the hospital was able to proactively identify high-risk no-show patients and take steps to mitigate the issue. | |
| | | | |
intezer.com
|
|
| | | Learn what agentic AI is, why it's become critical in cyber security, benefits it offers, implementation steps, and future trends. | ||