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.

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

Alibaba unveiled Qwen3.5, an open-weight, 397-billion-parameter mixture-of-experts model that only wakes up 17 billion neurons per prompt. The payoff? You get 60% lower inference ...

Google’s Chrome team previews WebMCP, a proposed web standard that lets websites expose structured tools for AI agents instead of relying on screen scraping.

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 ...

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Abstract: This study presents a new technique that integrates LabVIEW and Python to enhance the control of DC motor drives through the utilization of machine learning methods. The objective of our ...