Results 11 to 20 of about 22,074,380 (291)
Large Language Model (LLM) Bias Index -- LLMBI
CoRR, 2023 The Large Language Model Bias Index (LLMBI) is a pioneering approach designed to quantify and address biases inherent in large language models (LLMs), such as GPT-4. We recognise the increasing prevalence and impact of LLMs across diverse sectors.
Saina, Deepthi +2 more
core +8 more sources
PB-LLM: Partially Binarized Large Language Models
CoRR, 2023 This paper explores network binarization, a radical form of quantization, compressing model weights to a single bit, specifically for Large Language Models (LLMs) compression.
Shang, Yuzhang +3 more
core +4 more sources
Openai API, LLM (Large Language Models) [PDF]
La API de OpenAI es una interfaz de programación que proporciona acceso a modelos avanzados de inteligencia artificial (IA) desarrollados por OpenAI, específicamente Modelos de Lenguaje Grande (LLM), como GPT-3 y GPT-4.
Santa Quintero, Ricardo Andres +2 more
core +4 more sources
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction [PDF]
The task of multi-hop link prediction within knowledge graphs (KGs) stands as a challenge in the field of knowledge graph analysis, as it requires the model to reason through and understand all intermediate connections before making a prediction. In this
Chen, Tianle +5 more
core +3 more sources
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
MUTP-LLM: Empowering Multi-UAV Task Planning with Large Language Models
Guidance, Navigation and ControlAlthough large language models (LLMs) have succeeded in natural language understanding, there are still many challenges in converting natural language instructions into understandable and executable action plans for UAVs while generalizing across ...
Hongbo Yu +3 more
doaj +1 more source
Arthritis Care &Research, Accepted Article.Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
LLM-Pruner: On the Structural Pruning of Large Language Models
Advances in Neural Information Processing Systems 36, 2023 Accepted at NeurIPS ...
Xinyin Ma, Gongfan Fang, Xinchao Wang
openaire +3 more sources