Results 81 to 90 of about 520,319 (211)

Innovations in Code Testing Automation through Large Language Models (LLM) [PDF]

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
core  

Extracting Domain Models from Textual Requirements in the Era of Large Language Models [PDF]

, 2023
Requirements Engineering is a critical part of the software lifecycle, describing what a given piece of software will do (functional) and how it will do it (non-functional).
Mosser, Sébastien, Meurs, Marie-Jean, Arulmohan, Sathurshan   +2 more
core  

Uncertainty quantification by large language models

Machine Learning with Applications
As reasoning capabilities of large language models (LLMs) continue to advance, they are being integrated into increasingly complex scientific workflows, with the goal of developing agents capable of generating evidence-based explanations and testing ...
Dorianis M. Perez, Bryan E. Kaiser, Ismael Boureima   +2 more
doaj   +1 more source

Ensemble Large Language Models: A Survey

Information
Large language models (LLMs) have transformed the field of natural language processing (NLP), achieving state-of-the-art performance in tasks such as translation, summarization, and reasoning.
Ibomoiye Domor Mienye, Theo G. Swart
doaj   +1 more source

Large language models in critical care

Journal of Intensive Medicine
The advent of chat generative pre-trained transformer (ChatGPT) and large language models (LLMs) has revolutionized natural language processing (NLP).
Laurens A. Biesheuvel, Jessica D. Workum, Merijn Reuland, Michel E. van Genderen, Patrick Thoral, Dave Dongelmans, Paul Elbers   +6 more
doaj   +1 more source

Delusions of Large Language Models

CoRR
Large Language Models often generate factually incorrect but plausible outputs, known as hallucinations. We identify a more insidious phenomenon, LLM delusion, defined as high belief hallucinations, incorrect outputs with abnormally high confidence, making them harder to detect and mitigate.
Hongshen Xu, Zixv yang, Zichen Zhu, Kunyao Lan, Zihan Wang, Mengyue Wu, Ziwei Ji 0001, Lu Chen 0002, Pascale Fung, Kai Yu 0004   +9 more
openaire   +2 more sources

Utilizing Large Language Models for Semantic Search and Summarization of International Television News Archives [Presentation] [PDF]

This presentation exploring how the Internet Archive and the GDELT project leverages Large Language Models (LLMs) to summarize daily news and facilitate semantic search and question answering against the longitudinal index of the TV news archive within ...
Macdonald, Roger, Leetaru, Kalev H., Graham, Mark, Alam, Sawood   +3 more
core  

Utilizing Large Language Models for Semantic Search and Summarization of International Television News Archives [Video] [PDF]

Recording of a presentation exploring how the Internet Archive and the GDELT project leverages Large Language Models (LLMs) to summarize daily news and facilitate semantic search and question answering against the longitudinal index of the TV news ...
Macdonald, Roger, Leetaru, Kalev H., Graham, Mark, Alam, Sawood   +3 more
core  

Industrial applications of large language models

Scientific Reports
Large language models (LLMs) are artificial intelligence (AI) based computational models designed to understand and generate human like text. With billions of training parameters, LLMs excel in identifying intricate language patterns, enabling remarkable
Mubashar Raza, Zarmina Jahangir, Muhammad Bilal Riaz, Muhammad Jasim Saeed, Muhammad Awais Sattar   +4 more
doaj   +1 more source

Large Language Models: А Socio-Philosophical Essay

Галактика медиа: журнал медиа исследований
Neural networks have filled the information space. On the one hand, this indicates the scientific and technological movement of contemporary society (perhaps, AGI is already waiting for us outside the door). On the other hand, in everyday discourse there
Regina V. Penner
doaj   +1 more source