In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...

EngLang is an experimental programming language that uses English words and phrases to make programming more accessible to beginners and non-technical users. Rather than relying on complex syntax and ...

Imagine this: your desk is clutter-free, your ideas are neatly categorized, and your to-dos are effortlessly synced across all your devices. Sounds like a productivity dream, right? That’s exactly ...

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