PinnedShashank AgarwalLiDAR-Camera Fusion: A Beginner’s GuideA Step-by-Step Guide to Fusing LiDAR Data onto Camera ImagesJul 4, 20231Jul 4, 20231
Shashank AgarwalPEFT: The Key to Efficient LLMsFine-tuning Large Language Models (LLMs) is essential for tailoring them to excel at specific tasks. However, full fine-tuning of these…Aug 24Aug 24
Shashank AgarwalMaximizing Efficiency in Deep Learning: From Quantization to Multi-GPU ScalingTraining the recent deep learning models like large language models (LLMs) presents a significant challenge: running out of GPU memory. If…Aug 18Aug 18
Shashank AgarwalGenerative AI with LLMsGenerative AI (GenAI), exemplified by models like ChatGPT, is revolutionizing our interaction with technology. This is the magic made…Aug 18Aug 18
Shashank AgarwalHow do design decisions in Transformers impact ConvNet’s Performance?This article explores how ConvNeXt gradually “modernizes ”a standard ConvNet (ResNet) towards the design of a hierarchical vision…Jun 28Jun 28
Shashank AgarwalUnderstanding “DETR: End-to-End Object Detection with Transformers”In this article, we will delve into the concepts of DETR for end to end object detection using Transformers architecture which mainly…Apr 12Apr 12
Shashank AgarwalUnderstanding “Vision Transformers”Building on the success of the Transformer models, researchers began to explore the application of these models beyond the realm of NLP…Apr 12Apr 12
Shashank AgarwalUnderstanding ‘Attention is All You Need’Take a quick dive into the important concepts behind “Transformers”. Let’s understand why they matter and how they make the model work so…Apr 12Apr 12
