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 ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

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 ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Abstract: This research presents a novel approach to detecting epileptic seizures leveraging the strengths of Machine Learning (ML) and Deep Learning (DL) algorithms in EEG signals. Epileptic seizures ...

Coursiv sponsors Python Software Foundation, supporting the open-source language powering 80% of AI tools used by ...

Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...

Makeblock mBot2 Rover Kit features anodized aluminum parts, for STEM and more realistic engineering practice. Ages 8+ and 12+ tiers ...

Plotly Cloud adds team collaboration for publishing and sharing Dash apps, with enterprise security, centralized access ...

The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...

Speechify's Voice AI Research Lab Launches SIMBA 3.0 Voice Model to Power Next Generation of Voice AI SIMBA 3.0 represents a major step forward in production voice AI. It is built voice-first for ...