We then used large language models to identify positive self-reporters from other unannotated tweets. We used the Hibert transform to calculate the lead of the prediction curve ahead of the reported ...
Recent advancements in large language models (LLMs) and social robots have introduced new possibilities for enhancing VP interactivity and realism. However, their application in VP simulations has ...
Abstract: The number of depression patients worldwide, particularly in Thailand, is increasing on an upward trend. Depression screening commonly relies on self-report questionnaires. However, these ...
LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...
TORONTO — As the rapid, unregulated development of artificial intelligence continues, the language people in Silicon Valley use to describe it is becoming increasingly religious. From predicting the ...
Abstract: The proposed study aims to detect spam by utilizing the Radial Base Function and comparing the accuracy of predictions with Naive Bayes. Using machine learning techniques like Naive Bayes ...
Using a virtual environment (recommended alternative) If you plan to install multiple packages or manage dependencies cleanly, you might find it easier to use a virtual environment in your folder: ...
In a first-of-its-kind experiment, engineers at the University of Pennsylvania brought quantum networking out of the lab and onto commercial fiber-optic cables using the same Internet Protocol (IP) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback