PinnedAI Accelerated Training in Deep Learning with PyTorch Data parallelism.Feb 17, 2023Feb 17, 2023
PinnedA simple tutorial on Graph Neural Networks (GNNs) in Python.What are Graph Neural Networks (GNNs)?Apr 14, 2023Apr 14, 2023
PinnedA simple tutorial on Computer Vision with YOLO.Computer vision is a field of artificial intelligence that focuses on enabling machines to interpret and understand the visual world. It…Apr 12, 2023Apr 12, 2023
PinnedBARD: I tested Google's ChatGPT "BARD"! So here's my first insight.BARD is a large language model chatbot developed by Google AI. It is trained on a massive dataset of text and code, and can generate text…Apr 6, 20231Apr 6, 20231
Cracking the Data Vault: Why Landing a Data Science Job Feels Like Climbing Everest in HeelsIntroductionJan 19, 2024Jan 19, 2024
Can We Talk to the Lost? Demystifying Personal AI Companions and the Echoes of GriefI. A Whisper Across the Digital Divide: Introducing Personal AI CompanionsJan 7, 2024Jan 7, 2024
5 Very Interesting AI Achievements of all time.Artificial intelligence (AI) is a rapidly developing field that is having a major impact on our lives. In recent years, we have seen some…May 2, 2023May 2, 2023
SAM: Segment Anything Model by Meta AI.The Segment Anything Model (SAM) is a large language model from Meta AI that can be used to segment objects in images. It is trained on a…Apr 13, 2023Apr 13, 2023
Accelerated Training with Pipeline Model Parallelism for huge deep learning models.To overcome the limitation faced with the naive model parallel solution seen in my previous article:Mar 27, 2023Mar 27, 2023
Distributed Training in Large Deep Learning models with PyTorch Model Parallelism on a ResNet50Model parallelism is a technique utilized for training large deep neural networks (DNNs) that enables scaling beyond the memory capacity of…Mar 21, 2023Mar 21, 2023