Adrien Payong is a seasoned computer scientist specializing in artificial intelligence research.
In part 2 of this tutorial series on meta learning for NLP, we discuss different useful techniques for task construction.
in this article, we overview several notable techniques for facilitating text classification with deep learning.
In this article, we introduce the Transformers package, and detail how it facilitates notable NLP models like RoBERTa, SATformer, GPT-f, and more.
In this article, we overview the infrastructure that allows Paperspace to serve its powerful GPU, CPU, and IPU machines.
In part 2 of this series on aleatoric uncertainty, we implement a solution with TensorFlow Probability.
In part 1 of this introductory series on uncertainty in ML models, we introduce several proven concepts and methods for identifying two types of uncertainty and evaluating them with statistical methodologies.
In this article, we break down the paper "Towards Reasoning in Large Language Models: A Survey" in an attempt to explain relevant reasoning concepts used by LLMs.
In this tutorial we show how to implement iNLG with Python code in a Gradient Notebook.
