Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...

Abstract: In order to perform sentiment analysis on Weibo platform posts, a sentiment analysis model combining the LDA model and the machine learning model Snownlp is used to analyze posts data.

Python3.6+ gcc / g++ (>= 5.1 for c++14) cuda >= 7.0 Tested on Ubuntu 18.04 / GCC 7.5 / CUDA 11.1 / Python 3.6 I trained W2V model on quora-duplicate-questions dataset from gensim downloader api on GPU ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. With the rapid growth of artificial intelligence and machine learning across ...

The objective of this study was to investigate the effectiveness of a machine learning algorithm in diagnosing OSA in children based on clinical features that can be obtained in nonnocturnal and ...

1 Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, USA. 2 Department of Instructional System Technology, School of Education, Indiana ...

Linear Discriminant Analysis (LDA) effectively separates data points by learning relationships in high dimensional data. LDA is primarily utilised for classification, dimension reduction, and data ...