How Contrastive Vision-Language Models See and Understand the WorldIn the context of “contrastive” in contrastive-based Vision-Language Models (VLMs), it refers to a learning approach that emphasizes…Jul 15Jul 15
The hype around 1 Bit LLMs explained | Simplified Explanation for BeginnersThe Era of 1-bit LLMsMar 11Mar 11
Published inNerd For TechYOLO: Explained To 1st year Engg. StudentThis blog is for you if you are a student interested in learning about important Deep Learning models or a professional interested in…Nov 17, 2023Nov 17, 2023
Streamlining my Learning EffortsEveryday there’s something new, something important that I am missing out. I try to read it, bookmark and before i am able to get through…Nov 15, 2023Nov 15, 2023
Published inBootcampGame-Changing Secrets from Andrew Ng’s Latest Computer Vision WorkshopI am taking the time to condense an hour long workshop into a short summary to highlight key take-aways from this session.Nov 7, 2023Nov 7, 2023
Published inNerd For TechWhat is Log Odds in Logistic Regression?And why defining a threshold isn’t enough to classify values as 0 or 1?Oct 25, 2023Oct 25, 2023
Published inCodeXUnlocking Creativity in Machines: Exploring the Magic of GANs — A Deep Dive into the PaperGAN (Generative Adversarial Networks) paper outlines the training process for Generative Adversarial Networks (GANs). Here’s the setup:Oct 18, 2023Oct 18, 2023
Published inNerd For TechG-DINO Paper for DummiesThis blog outlines all the important concepts used in the methodology of this paper.Oct 10, 2023Oct 10, 2023
Published inNerd For TechMastering Computer Vision: A Guide for Aspiring PractitionersI landed my dream job as a Computer Vision Data scientist, and I was extremely excited to get started on it, however after a while my…Oct 4, 2023Oct 4, 2023
Published inCodeXWhat No One Tells Recent Data Graduates About Job ApplicationsHere’s the thing. I started applying for jobs in Aug 2021 and hardly got any response until I started doing the things below in Jan 2022…Nov 11, 20223Nov 11, 20223
