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.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Corrected: The original version of this post included the incorrect first name of Andy Rotherham. It has been updated to reflect the correction. Mike Schmoker is a veteran educator who’s long been a ...

Anti-skid, machine-washable carpet with non-shedding and fade-resistant finish Thick, soft and eco-friendly carpet with anti-skid backing for daily use Fluffy modern rug ideal for bedside, hall and ...

Abstract: Quantum Computing (QC) technology and Deep Learning (DL) science have garnered significant attention for their potential to revolutionize computation. This paper introduces the basic ...