Analytics Insight

Top 25 Large Language Models (LLMs) in 2025

The AI landscape in 2025 is dominated by cutting-edge Large Language Models (LLMs) designed to revolutionize industries.
GitHub

windows-pc-text-processing

Comprehensive repository offering official resources, detailed guides, and reference materials for IDM UltraEdit on Windows PCs. Designed to support users with clear documentation and tools for ...
IEEE

Adaptive Hierarchical Text Classification Using ERNIE and Dynamic Threshold Pruning

Abstract: Hierarchical Text Classification (HTC) is a challenging task where labels are structured in a tree or Directed Acyclic Graph (DAG) format. Current approaches often struggle with data ...
IEEE

Application of BERT Model for Unsupervised Text Classification using Hierarchical Clustering for Automatic Classification of Thesis Manuscript

Abstract: Many current studies on natural language processing (NLP) depend on supervised learning, which needs a lot of labeled data. This is not practical for large classification tasks. This ...
Hosted on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!