Articles for category: AI Tools

March 11, 2025

ikayaniaamirshahzad@gmail.com

DINOv2 for Semantic Segmentation

Training semantic segmentation models are often time-consuming and compute-intensive. However, with the powerful self-supervised DINOv2 backbones, we can drastically reduce the training compute and time. Using DINOv2, we can just add a semantic segmentation head on top of the pretrained backbone and train a few thousand parameters for good performance. This is exactly what we are going to cover in this article. We will modify the DINOv2 backbone, add a simple pixel classifier on top of it, and train DINOv2 for semantic segmentation. Figure 1. Result from training a DINOv2 model for semantic segmentation. What are we going to cover

March 11, 2025

ikayaniaamirshahzad@gmail.com

Data Machina #256 – by Carlos

State Space Models (SSMs): An Alt to Transformers? SSMs are not something new; they’ve been successfully applied in many fields like control systems, physics, economics… For now, transformers are the kings in sequence modelling. But recently, some researchers and startups are starting to use a specific type of SSM to solve some of the sequence modelling issues that Transformers suffer from. SSMs as an Alt to Transformers? Let’s see: First, let me share 3 nice intros to SSMs: A gentle introduction to SSMs. In this post, jorgecadete explains SSMs from a basic point of view. By the end of this

March 11, 2025

ikayaniaamirshahzad@gmail.com

Manus: What You Need To Know

Secure Your Spot at the AI Agent Conference (NYC, May 6-7) – Limited Seats! Use code GRADIENTFLOW25 for 25% off before it expires. Table of Contents What is Manus and how does it differ from existing AI assistants? How does Manus work from a technical perspective? What practical applications has Manus demonstrated so far? How does Manus compare to agents like OpenAI’s Operator or Anthropic’s tools? Who is behind Manus, and what is their approach to AI development? What technical innovations make Manus possible? What are the implications for AI application developers? What does Manus tell us about the future

March 11, 2025

ikayaniaamirshahzad@gmail.com

39 Lessons on Building ML Systems, Scaling, Execution, and More

Industry ML conferences are intense. There’s so much information, learning, and context switching between talks and posters and hallway conversations that leaves you exhausted each day. Thus, whenever there’s a break, taking a few minutes to reflect and take notes helps to solidify the learning. Here are my notes from ML conferences in 2024. (I also had the opportunity to share my work at a few of these conferences. Here are the slides for my talks at the Netflix PRS Workshop and the AI Engineer World’s Fair. Unfortunately, my oral presentation at the Amazon ML Conference is internal only.) •

March 11, 2025

ikayaniaamirshahzad@gmail.com

ANDROID GRADLE PART -1 – DEV Community

WHAT IS GRADLE? Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites. Gradle has been designed to support build automation across multiple languages and platforms including Java, Scala, Android, C/C++, and Groovy, and is closely integrated with development tools and continuous integration servers including Eclipse, IntelliJ, and Jenkins.Now we will discus Gradle generates APK file. Before jump it’s build system

March 11, 2025

ikayaniaamirshahzad@gmail.com

Part 1: A Survey of Analytics Engineering Work at Netflix | by Netflix Technology Blog

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. We kick off with a few topics focused on how we’re empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the company. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft. At Netflix, we seek to entertain the world by ensuring our members find the shows and movies that will thrill them. Analytics at Netflix powers everything from

March 11, 2025

ikayaniaamirshahzad@gmail.com

What Is Cassandra? Key Features and Advantages – BMC Software

To fully appreciate Apache Cassandra and what it can do, it’s helpful to first understand NoSQL databases and to then look more specifically at Cassandra’s architecture and capabilities. Doing so provides a good introduction to the system, so you can determine if it’s right for your business. (This article is part of our Cassandra Guide. Use the right-hand menu to navigate.) What is Apache Cassandra? Apache Cassandra is a distributed database management system that is built to handle large amounts of data across multiple data centers and the cloud. Key features include: Written in Java, it’s a NoSQL database offering

March 11, 2025

ikayaniaamirshahzad@gmail.com

Step-By-Step Walk-Through of Pytorch Lightning

Takeaways Learn step-by-step how to train a Convolutional Neural Network for Image Classification on CIFAR-10 dataset using PyTorch Lightning with callbacks and loggers for monitoring model performance. In this blog, you will learn about the different components of PyTorch Lightning and how to train an image classifier on the CIFAR-10 dataset with PyTorch Lightning. We will also discuss how to use loggers and callbacks like Tensorboard, ModelCheckpoint, etc. PyTorch Lightning is a high-level wrapper over PyTorch which makes model training easier and scalable by removing all the boilerplates so that you can focus more on the experiments and research than