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.

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows for the rapid distribution of the resulting executabl ...

Java and JavaScript are entirely different languages despite their similar names. Java is compiled and widely used for ...

Bharti Airtel Foundation and CK-12 Foundation on Monday announced the integration of 45-plus AI-enabled teaching tools into TheTeacherApp, a free digital learning platform currently being used by over ...

AI Course For Humanities Students: Artificial Intelligence (AI) has entered the nation and the world. Its impact is visible in sectors ranging from healthcare to services, infrastructure, and ...

Humanities students can now enter data science and AI without an engineering degree. Here’s a clear roadmap to start your tech journey ...

One such independent school is the Highlands School in Bel Air, which has a five-week summer camp called Mind Jump, for students in kindergarten through grade seven.

Physical AI is not merely a product feature. It is an architectural shift. The question before us is simple: Will the world of Physical AI be built by a few thousand engineers, or by millions of ...

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 ...

To calculate percentage, sum obtained marks and divide by total maximum marks, then multiply by 100. Students should follow CBSE guidelines as practicals and subject rules may vary.

Abstract: Explainable Artificial Intelligence is a recent research direction that aims to explain the results of the Deep learning model. However, many recent research need to go into depth in ...