Results 51 to 60 of about 60,614 (154)
Using large language models to extract information from pediatric clinical reports.
Most medical documentation, including clinical reports, exists in unstructured formats, which hinder efficient data analysis and integration into decision-making systems for patient care and research.
Katharina Danhauser +8 more
doaj +1 more source
A Survey on Hardware Accelerators for Large Language Models
Large language models (LLMs) have emerged as powerful tools for natural language processing tasks, revolutionizing the field with their ability to understand and generate human-like text. As the demand for more sophisticated LLMs continues to grow, there
Christoforos Kachris
doaj +1 more source
Large language models, the innovative breakthrough taking the world by storm, have been applied in several fields, such as medicine, education, finance, and law.
Yasmeen Saleh +3 more
doaj +1 more source
Large Language Models (LLMs): Deployment, Tokenomics and Sustainability
The rapid advancement of Large Language Models (LLMs) has significantly impacted human-computer interaction, epitomized by the release of GPT-4o, which introduced comprehensive multi-modality capabilities. In this paper, we first explored the deployment strategies, economic considerations, and sustainability challenges associated with the state-of-the ...
Haiwei Dong 0001, Shuang Xie
openaire +2 more sources
LLM-Select: Feature Selection with Large Language Models
In this paper, we demonstrate a surprising capability of large language models (LLMs): given only input feature names and a description of a prediction task, they are capable of selecting the most predictive features, with performance rivaling the standard tools of data science.
Daniel P. Jeong +2 more
openaire +3 more sources
Unit Test Generation Using Large Language Models: A Systematic Literature Review [PDF]
Unit testing is a fundamental aspect of software development, ensuring the correctness and robustness of code implementations. Traditionally, unit tests are manually crafted by developers based on their understanding of the code and its requirements ...
Slotkienė, Asta, Zapkus, Dovydas Marius
core +2 more sources
On the Shape of Brainscores for Large Language Models (LLMs)
With the rise of Large Language Models (LLMs), the novel metric "Brainscore" emerged as a means to evaluate the functional similarity between LLMs and human brain/neural systems. Our efforts were dedicated to mining the meaning of the novel score by constructing topological features derived from both human fMRI data involving 190 subjects, and 39 LLMs ...
openaire +2 more sources
Theme of work. Research on the Text-to-SQL conversion procedure based on Large Language Models (LLM) through Cross-Domain Semantic Analysis. Purpose of work.
Людмила Горбачова +4 more
doaj +1 more source
Are Large Language Models Good Fact Checkers: A Preliminary Study
Recently, Large Language Models (LLMs) have drawn significant attention due to their outstanding reasoning capabilities and extensive knowledge repository, positioning them as superior in handling various natural language processing tasks compared to ...
Cao, Han +4 more
core
The Open Source Advantage in Large Language Models (LLMs)
9 pages, 1 ...
Jiya Manchanda +3 more
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