large language models

The patent includes the company's safety-focused LLMs incorporated into its Polaris constellation architecture. 

The large-scale study on open and closed models revealed LLMs exhibit noticeable variance when responding to different instantiations of the same question.

Med-Gemini-3D can read 3D scans, generate radiology reports and answer questions, while Med-Gemini-Polygenic can predict health outcomes based on genomic data.

The Nurse Advisory Council comes on the heels of the generative AI company's announcement in October that it launched its Physician Advisory Council.

Dr Harvey Castro, author of "ChatGPT and Healthcare," discusses his book on the use of large language models in medicine, the role of physicians in refining future LLMs and worries about physician and patient hallucinations due to LLM results.

Munjal Shah, CEO and cofounder of Hippocratic AI, shares the difference between his company's large language model and Google and ChatGPT's LLMs – and the benefit of partnering with health systems while developing the model to ensure efficacy.

Dr. Payel Das, principal research staff member and manager in the Trusted AI department of IBM, and an IBM master inventor, relays how using large language models that fill gaps in datasets may improve drug discovery in the future.

In a study published in Nature, Google revealed that its generative AI technology answered medically related questions with 92.6% accuracy.

The company says its LLM has passed over 100 healthcare certifications and surpassed GPT-4 and other commercial models’ performance.