Preferred Label : large language model;
Définition CISMeF : A type of AI model trained on large text datasets to learn the relationships between
words in natural language. These models can apply these learned patterns to predict
and generate natural language responses to a wide range of inputs or prompts they
receive, to conduct tasks like translation, summarization, and question answering.
These models are characterized by a vast number of model parameters (i.e., internal
learned variables within a trained model). LLMs build on foundational AI models
by developing more comprehensive language understanding beyond basic linguistic patterns.
For example, in the context of LLMs, chatbot is a program that enables communication
between the LLM and the human through text or voice commands in a way that mimics
human-to-human conversation.; Source: Adapted from: Gottlieb, S., & Silvis, L. (2023). How to Safely Integrate
Large Language Models Into Health Care. JAMA Health Forum, 4(9), e233909. https://doi.org/10.1001/jamahealthforum.2023.3909External
Link Disclaimer Thirunavukarasu, A. J., Ting, D. S. J., Elangovan, K., Gutiérrez,
L., Tan, T. F., & Ting, D. S. W. (2023). Large language models in medicine. Nature
Medicine, 29(8), 1930–1940. https://doi.org/10.1038/s41591-023-02448-8;
Origin ID : 300181;
Currated CISMeF NLP mapping
A type of AI model trained on large text datasets to learn the relationships between
words in natural language. These models can apply these learned patterns to predict
and generate natural language responses to a wide range of inputs or prompts they
receive, to conduct tasks like translation, summarization, and question answering.
These models are characterized by a vast number of model parameters (i.e., internal
learned variables within a trained model). LLMs build on foundational AI models
by developing more comprehensive language understanding beyond basic linguistic patterns.
For example, in the context of LLMs, chatbot is a program that enables communication
between the LLM and the human through text or voice commands in a way that mimics
human-to-human conversation.
Source: Adapted from: Gottlieb, S., & Silvis, L. (2023). How to Safely Integrate
Large Language Models Into Health Care. JAMA Health Forum, 4(9), e233909. https://doi.org/10.1001/jamahealthforum.2023.3909External
Link Disclaimer Thirunavukarasu, A. J., Ting, D. S. J., Elangovan, K., Gutiérrez,
L., Tan, T. F., & Ting, D. S. W. (2023). Large language models in medicine. Nature
Medicine, 29(8), 1930–1940. https://doi.org/10.1038/s41591-023-02448-8
