Results 11 to 20 of about 26,588 (249)
Large language models (LLMs) as agents for augmented democracy. [PDF]
Philos Trans A Math Phys Eng SciWe explore an augmented democracy system built on off-the-shelf large language models (LLMs) fine-tuned to augment data on citizens’ preferences elicited over policies extracted from the government programmes of the two main candidates of Brazil’s 2022 presidential election.
Gudiño JF, Grandi U, Hidalgo C.
europepmc +7 more sources
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. This research introduces a novel metric, LLMBI, to systematically measure and mitigate biases potentially ...
Oketunji, AF, Anas, M, Saina, D
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Evaluating ChatGPT, Gemini and other Large Language Models (LLMs) in orthopaedic diagnostics: A prospective clinical study. [PDF]
Comput Struct Biotechnol JPagano S +8 more
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The promises of large language models for protein design and modeling
Frontiers in Bioinformatics, 2023 The recent breakthroughs of Large Language Models (LLMs) in the context of natural language processing have opened the way to significant advances in protein research. Indeed, the relationships between human natural language and the “language of proteins”
Giorgio Valentini +12 more
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A COMPREHENSIVE OVERVIEW OF LARGE LANGUAGE MODELS AND GPT FAMILY [PDF]
ICTACT Journal on Soft ComputingThe field of natural language processing (NLP) underwent a sea change with the introduction of large language models (LLMs). The NLP systems have progressed from simple rule-based systems to sophisticated transformer-based generative pre-trained models ...
P.S. Vinayagam
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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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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. 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 ...
Yuzhang Shang +3 more
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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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Large Language Models (LLMs) and Causality Extraction from Text
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceThis 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
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Leveraging large language models (LLMs) for GeoAI-enabled digital agro-advisory
Frontiers in Remote SensingDigital agriculture has undergone a profound transformation driven by rapid advances in Earth observation, unmanned aerial vehicles and advanced data processing techniques.
Shalini Gakhar, Raj Kumar Singh
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