Results 281 to 290 of about 2,402,901 (306)

Large Language Models

The Journal of the American Dental Association
This presentation provides a comprehensive overview of large language models (LLMs), with emphasis on ChatGPT and its architecture, capabilities, limitations, and future directions. It explores how LLMs like GPT, PaLM, and LLaMA have transformed industries ranging from healthcare and education to creative writing and scientific research.
Johannes B. Gruber, Fabio Votta
  +21 more sources

Large language models: rheumatologists’ newest colleagues?

Nature Reviews Rheumatology
In 2023, large language models demonstrated potential for use in rheumatology to accurately suggest diagnoses and provide empathetic patient education. However, the propensity of this technology to generate misleading information continues to pose risks. Balancing innovation with physician guidance is essential.
Vincenzo Venerito, Latika Gupta
openaire   +2 more sources

Large language models and psychiatry

International Journal of Law and Psychiatry
Integrating Generative Artificial Intelligence and Large Language Models (LLMs) such as GPT-4 is transforming clinical medicine and cognitive psychology. These models exhibit remarkable capabilities in understanding and generating human-like language, which can enhance various aspects of healthcare, including clinical decision-making and psychological ...
Graziella Orrù, Giulia Melis, Giuseppe Sartori   +2 more
openaire   +2 more sources

Large Language Models in Neurosurgery

A large language model (LLM), in the context of natural language processing and artificial intelligence, refers to a sophisticated neural network that has been trained on a massive amount of text data to understand and generate human-like language. These models are typically built on architectures like transformers.
Antonio, Di Ieva, Caleb, Stewart, Eric, Suero Molina   +2 more
openaire   +2 more sources

Large Language Models and Biorisk

The American Journal of Bioethics, 2023
William, D'Alessandro, Harry R, Lloyd, Nathaniel, Sharadin   +2 more
openaire   +2 more sources

Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

ACM Computing Surveys, 2023

exaly  

Survey of Hallucination in Natural Language Generation

ACM Computing Surveys, 2023
Ziwei Ji
exaly  

The language of chromatin modification in human cancers

Nature Reviews Cancer, 2021
Shuai Zhao, Charles David Allis, Gang G Wang   +2 more
exaly  

Evolutionary-scale prediction of atomic-level protein structure with a language model

Science, 2023
, , Roshan Rao
exaly