This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.
Abstract: This paper discusses the effectiveness of the Programmed Visual Contents Comparison Method (PVCC) for collaborative learning in computer programming education. Building upon our previous ...
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
Abstract: In traditional binary classification tasks, learning algorithms conventionally distinguish positive and negative samples by leveraging fully labeled training data. However, in practical ...
Musician Kid Rock performs on the fourth day of the Republican National Convention at the Fiserv Forum on July 18, 2024 in Milwaukee, Wisconsin (Credit: Chip Somodevilla/Getty Images) Kid Rock will ...