Aren’t these “new” AI features impractical? — A data scientist’s rant.
When Technology’s Hype Outpaces Its Practicality.
Akhil Theerthala
Building Blocks of Transformers: Attention
The Borrower, the Lender, and the Transformer: A Simple Look at Attention
Simplifying Decorators in Python | A step-by-step approach.
Python is one of the simpler languages that we can learn these days. However, despite being the simplest one, it still has a few areas that…
Making Sense of PyTorch’s to(device) and map_location.
Why are there two different approaches to do the same thing? When is one approach better than the other?
NLP -01: Demystifying Regular Expressions | RegEx guide for beginners.
One of the most underrated skills any data professional should have when working with strings
Machine Learning Roadmap: Community Recommendations 2023
RoadMaps
Data Lifecycle in Production: Defining and Collecting useful data.
How do we determine the criteria for “good” and “useful” data? Where can we collect the data from? How much data should we collect?