I write about everything interesting.
Yours Truly.
Where Am I? This is the second part of our Transformer series blog, where we will deep dive into a topic called positional embedding. In this part, we’ll see what PE is and the types of PEs. Background Classical NLP and text generation used sequence-...
Tiny agent to talk to BSE (India)
“This will be a small experiment”. My thoughts as I started working on it a month ago. It is a simple concept of caching previous results for future calculations, similar to dynamic programming in DSA. I could not have been far from the truth. Well, ...
Without AI 🤓
How to use RAG method to access the entire internet with ML
Accelerate fine tuning of large models while consuming less memory
Part 2 - Coloring black and white images
Part 1 - the diffusion
I was working on an ML model and I stumbled on the task of writing my loss function. Interestingly, I had to use a bitwise operator, among other operations, on an image. To convert it into a sketch. As I blindly plugged the bitwise NOT operator into ...
