Results 211 to 220 of about 26,588 (249)

Large Language Models(LLMs)

Large Language Models (LLMs) are transformative AI systems trained on vast text data, enabling natural language understanding and generation. Evolving from rule-based and statistical NLP, LLMs utilize transformer architectures, attention mechanisms, and tokenization strategies for high contextual comprehension.
Suryavanshi, Jayshree, Kadam, Aditya Dattu   +1 more
  +8 more sources

LARGE LANGUAGE MODELS (LLMS) AND CHATGPT FOR BIOMEDICINE

Biocomputing 2024, 2023
Large Language Models (LLMs) are a type of artificial intelligence that has been revolutionizing various fields, including biomedicine. They have the capability to process and analyze large amounts of data, understand natural language, and generate new content, making them highly desirable in many biomedical applications and beyond.
Cecilia, Arighi, Steven, Brenner, Zhiyong, Lu   +2 more
openaire   +2 more sources

Large language models (LLMs) and the institutionalization of misinformation

Trends in Cognitive Sciences
Large language models (LLMs), such as ChatGPT, flood the Internet with true and false information, crafted and delivered with techniques that psychological science suggests will encourage people to think that information is true. What's more, as people feed this misinformation back into the Internet, emerging LLMs will adopt it and feed it back in ...
Maryanne Garry, Way Ming Chan, Jeffrey Foster, Linda A. Henkel   +3 more
openaire   +2 more sources

Large language models (LLMs) in radiography research: A narrative review

Radiography
Artificial intelligence (AI) has become increasingly embedded in Radiography research and practice, extending beyond diagnostic support and workflow optimisation to non-patient-facing applications. Generative AI (GenAI), particularly Large Language Models (LLMs), have been used in radiography research, generating synthetic data, assisting in literature
C. Rainey, A. England, P.C. Murphy, A.A. Mohammad, Y.H. Hadi, M. McEntee   +5 more
openaire   +2 more sources

Lower Energy Large Language Models (LLMs)

Computer, 2023
Hsiao-Ying Lin, Jeffrey M. Voas
openaire   +2 more sources

Tokenization in Large Language Models (LLMs)

In Natural Language Processing (NLP), tokenization is crucial. It helps convert unprocessed text into machine-understandable tokens. Large Language Models (LLMs) such as GPT, BERT, and T5 are particularly affected by this. This chapter examines the significance of tokenization for LLMs. It shapes how well these models perform tasks such as translation,
openaire   +1 more source

Exploring the use of large language models (LLMs) in chemical engineering education: Building core course problem models with Chat-GPT

Education for Chemical Engineers, 2023
Cheng-Liang Chen, Meng-Lin Tsai
exaly  

Large Language Models（LLM）and Robotics

Journal of the Robotics Society of Japan, 2022
openaire   +1 more source