Results 121 to 130 of about 619,505 (306)
Entropy in Large Language Models
CoRRIn this study, the output of large language models (LLM) is considered an information source generating an unlimited sequence of symbols drawn from a finite alphabet. Given the probabilistic nature of modern LLMs, we assume a probabilistic model for these LLMs, following a constant random distribution and the source itself thus being stationary.
openaire +2 more sources
Exploring Large Language Models for Chatbot Development: A Natural Language Processing Framework
reservedThis thesis addresses the development of a chatbot using Natural Language Processing (NLP) approaches. The research begins with the definition of requirements, goals, and target audience.
PETRINA, STEFANO
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Spatiotemporal Pre-Trained Large Language Model for Forecasting with Missing Values
Spatiotemporal data collected by sensors within an urban Internet of Things (IoT) system inevitably contains some missing values, which significantly affects the accuracy of spatiotemporal data forecasting.
Salim, FD +4 more
core +1 more source
FEBS Open Bio, EarlyView.Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source
reservedThe higher education landscape is constantly evolving thanks to technological innovation, and the use of advanced language models represents one of the most promising frontiers in machine learning.
DE LORENZI, ANDREA
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Restrictions on biological adaptation in language evolution
, 2009 Language acquisition and processing are governed by genetic constraints. A crucial unresolved question is how far these genetic constraints have co-evolved with language, perhaps resulting in a highly specialized, and species-specific language “module”;
Reali, F. +5 more
core +1 more source
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
Personalized Large Language Models
2024 IEEE International Conference on Data Mining Workshops (ICDMW)Large language models (LLMs) have significantly advanced Natural Language Processing (NLP) tasks in recent years. However, their universal nature poses limitations in scenarios requiring personalized responses, such as recommendation systems and chatbots. This paper investigates methods to personalize LLMs, comparing fine-tuning and zero-shot reasoning
Stanislaw Wozniak +4 more
openaire +2 more sources
Innovations in Code Testing Automation through Large Language Models (LLM)
openQuesta tesi esplora l'uso dei Large Language Models (LLM) per automatizzare i test di codice. Attraverso esperimenti e studi di caso, si valuta l'efficacia di questa tecnica, evidenziando il suo potenziale nel migliorare l'efficienza e l'accuratezza ...
DE LAURENTIS, ARIANNA PIA
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