AbstractThe emergence of Large Language Models (LLMs) is often explained by the fact that computers can now be instructed ...

MythWorx, a pioneering AI product lab, today launched TrainingWorx℠, a more efficient, cost-effective approach to training large-language models (LLMs). The company also announced an upcoming, ...

A blinded panel of eight multidisciplinary experts judged the primary action acceptable in 338 of 400 synthetic clinical ...

Large Language Models (LLMs) have evolved far beyond their initial role as next-word predictors. Recent research, particularly from Anthropic, sheds light on the sophisticated mechanisms driving these ...

As more people turn to large language models (LLMs) during personal crises, the companies behind them are engineering these ...

This article presents challenges and solutions regarding health care–focused large language models (LLMs) and summarizes key recommendations from major regulatory and governance bodies for LLM ...

"ChatGPT is just predicting the next word."When researching generative AI, one often encounters this explanation.However, I ...

Exploring uses for artificial intelligence (AI) machine learning is de rigueur, and large language models (LLMs) are having their moment in the spotlight. Last year, LLMs were used in a variety of ...

Foundation models—AI systems trained on expansive datasets that can perform a wide range of tasks—and large language models—a subset of foundation models capable of processing and generating humanlike ...

As humans and AI models roam the internet, they encounter lots of junk: clickbait headlines, misinformation, hashtags. Research by Dr. Zhengzhong Tu and his colleagues indicates that this junk-filled ...