Adrien Payong is a seasoned computer scientist specializing in artificial intelligence research.
In part 1 of this series on meta learning for Natural Language Processing, we introduce optimization and loss functions in machine learning used to approach meta learning with enhanced learning algorithms.
In this tutorial, we overview and explain the basics of working with the T5 model.
In this article, we introduce the novel diffusion model paradigm, AltDiffusion, and explore its capabilities.
In part one of this blog series, we introduce the Reasoning Graph Verifier and discuss its efficacy for enhancing LLM capabilities.
In this tutorial, we show how to implement DDPMs in a GPU powered Paperspace Notebook to train a custom diffusion model on any image set.
This tutorial covers the origins and uses of the BART model for text summarization tasks, and concludes with a brief demo for using BART with Paperspace Notebooks.
This overview covers the basic theory behind diffusion modeling, through a breakdown of the "Real-World Denoising via Diffusion Model" paper
In this tutorial, we show how to construct a fully trained transformer-based language model using TorchText in a Paperspace Notebook
