Deep Dives

Staying on top of a fast-growing research field is rarely easy. I face this challenge firsthand as a practitioner in Physics-Informed Neural Networks (PINNs). Latest papers, be they algorithmic advancements or cutting-edge applications, are published...

Introduction In my previous article, I discussed one in all the earliest Deep Learning approaches for image captioning. If you happen to’re concerned about reading it, you'll find the link to that article at the...

Introduction In a YouTube video titled , former Senior Director of AI at Tesla, Andrej Karpathy discusses the psychology of Large Language Models (LLMs) as emergent cognitive effects of the training pipeline. This text is inspired by his...

1. Introduction Ever for the reason that introduction of the self-attention mechanism, Transformers have been the highest alternative relating to Natural Language Processing (NLP) tasks. Self-attention-based models are highly parallelizable and require substantially fewer parameters,...

Game theory is a field of research that is sort of distinguished in Economics but relatively unpopular in other scientific disciplines. Nonetheless, the concepts utilized in game theory could be of interest to a...

Which Final result Matters? Here is a typical scenario : An A/B test was conducted, where a random sample of units (e.g. customers) were chosen for a campaign they usually received Treatment A. One other...

This text is geared toward those that want to know exactly how Diffusion Models work, with no prior knowledge expected. I’ve tried to make use of illustrations wherever possible to offer visual intuitions on...