Tag:
general
AI
Enhancing Human Evaluation of Large Language Models in Healthcare: Addressing Gaps, Challenges, and the Imperative for Standardization
Recent research highlights significant advancements and challenges in utilizing large language models (LLMs) in healthcare. Notably, AlphaFold demonstrates high accuracy in protein structure predictions,...
AI
New Agency Artists & Robots Seeks to Elevate Brand Experiences Through AI Innovation
Many brands tout AI for faster, cheaper, or more personalized content, but Heather Salkin and Jason Snyder believe this approach is outdated. Co-founders of...
AI
Yahoo Secretly Trials Six AI-Powered Ad Agents
Yahoo is currently testing six innovative AI agents aimed at automating ad campaigns and enhancing performance measurement. According to confidential sources and promotional materials...
AI
Assessing the Effectiveness of General-Purpose Large Language Models in Detecting Human Facial Emotions
The study, IRB-exempt from Beth Israel Deaconess Medical Center, utilized the NimStim dataset—comprised of 672 facial expression images from 43 multiracial actors—to evaluate facial...
AI
Introducing Amazon’s Ads Agent and Revamped Advertising Interface
Amazon is revolutionizing digital advertising with the introduction of Ads Agent, an AI-powered tool unveiled at its annual UnBoxed event. Designed to streamline campaign...
AI
Harnessing Large Language Models in Clinical Trials: Innovations, Applications, and Future Prospects | BMC Medicine
The recent literature emphasizes significant advancements in drug discovery and clinical trial methodologies, notably through the integration of artificial intelligence (AI) and machine learning....
AI
Understanding the Densing Law of Large Language Models | Nature Machine Intelligence
In this content, we define the density of large language models (LLMs) as the ratio of effective parameter size to actual parameter size. We...
AI
When Good Intentions Go Wrong: The Dangers of LLMs Spreading Inaccurate Medical Information through Sycophantic Responses
To evaluate language models' familiarity with drugs, we utilized the RABBITS30 dataset, comprising 550 drugs with brand-generic mappings. Using various pre-training corpora and the...