Results 31 to 40 of about 239,466 (252)
Graph of Thoughts: Solving Elaborate Problems with Large Language Models [PDF]
We introduce Graph of Thoughts (GoT): a framework that advances prompting capabilities in large language models (LLMs) beyond those offered by paradigms such as Chain-of-Thought or Tree of Thoughts (ToT).
Maciej Besta +10 more
semanticscholar +1 more source
Large language models and political science
Large Language Models (LLMs) are a type of artificial intelligence that uses information from very large datasets to model the use of language and generate content.
Mitchell Linegar +3 more
doaj +1 more source
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate [PDF]
Modern large language models (LLMs) like ChatGPT have shown remarkable performance on general language tasks but still struggle on complex reasoning tasks, which drives the research on cognitive behaviors of LLMs to explore human-like problem-solving ...
Tian Liang +8 more
semanticscholar +1 more source
Medical Specialty Classification Using Large Language Models (LLMs)
This study evaluates the performance of Large Language Model (LLM)-based classifiers, including BERT, Bio-BERT, and Distil-BERT, in comparison to traditional Machine Learning algorithms to classify the medical transcription reports into various ...
Surya Kathirvel, Lenin Mookiah
doaj +1 more source
Large Language Models (LLMs) and Causality Extraction from Text
This tutorial explores the application of Large Language Models (LLMs), such as BERT, LLAMA, and GPT-3.5/4, to the extraction of causality from text documents, including identifying causes, effects, and actions in diverse texts, such as business ...
Wlodek Zadrozny
doaj +1 more source
Study on Evaluation Framework of Large Language Model’s Financial Scenario Capability [PDF]
With the rapid development of large language models(LLMs),its application in the financial sector has become a dri-ving force for industry transformation.Establishing a standardized and systematic evaluation framework for financial capabilities is a ...
CHENG Dawei, WU Jiaxuan, LI Jiangtong, DING Zhijun, JIANG Changjun
doaj +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
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
From Large Language Models to Large Multimodal Models: A Literature Review
With the deepening of research on Large Language Models (LLMs), significant progress has been made in recent years on the development of Large Multimodal Models (LMMs), which are gradually moving toward Artificial General Intelligence. This paper aims to
Dawei Huang +3 more
doaj +1 more source
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
The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly influenced the cybersecurity landscape, particularly in the banking sector, where threats are increasingly sophisticated.
Hewa Majeed Zangana +2 more
doaj +1 more source

