Results 11 to 20 of about 63,129 (302)
Large language models propagate race-based medicine
npj Digital Medicine, 2023 Large language models (LLMs) are being integrated into healthcare systems; but these models may recapitulate harmful, race-based medicine. The objective of this study is to assess whether four commercially available large language models (LLMs) propagate
Jesutofunmi A. Omiye +4 more
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Several categories of Large Language Models (LLMs): A Short Survey
, 2023 Large Language Models(LLMs)have become effective tools for natural language processing and have been used in many different fields. This essay offers a succinct summary of various LLM subcategories.
Chandrasekharan, Manoj, Pahune, Saurabh
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Large language models and political science
Frontiers in Political Science, 2023 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
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After-School Care and Parents' Labor Supply [PDF]
, 2013 Does after-school care provision promote mothers' employment and balance the allocation of paid work among parents of schoolchildren? We address this question by exploiting variation in cantonal (state) regulations of after-school care provision in ...
Felfe, Christina +2 more
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“Let’s Have a Chat:” Applying ChatGPT and Other Large Language Models to the Practice of Forensic Accounting [PDF]
, 2023 ChatGPT has captured the popular imagination because of its conversational voice, its wide scope of ‘knowledge’, and far-ranging abilities. In this paper, we use an innovative interview method to introduce CPAs to ChatGPT, its development, and the ...
Street, Daniel, Wilck, Joseph
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Generating Personalized Recommendations via Large Language Models (LLMs) [PDF]
, 2022 Personalized recommendations used in many applications and websites are generated using techniques such as collaborative filtering, content-based filtering, reinforcement learning, etc. These are task-specific approaches. Large language models (LLMs) can
Ahuja, Sameer +2 more
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Medical Specialty Classification Using Large Language Models (LLMs)
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceThis 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
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, 2023 Large-scale language models (LLMs) has shown remarkable capability in various of Natural Language Processing (NLP) tasks and attracted lots of attention recently. However, some studies indicated that large language models fail to achieve promising result
Qu, Fanyi, Wu, Yunfang
core
Study on Evaluation Framework of Large Language Model’s Financial Scenario Capability [PDF]
Jisuanji kexueWith 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
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PB-LLM: Partially Binarized Large Language Models
, 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. Due to previous binarization methods collapsing LLMs, we propose a novel approach, Partially-Binarized LLM (PB-LLM), which can achieve extreme low-bit quantization while ...
Shang, Yuzhang +3 more
openaire +2 more sources