Blog

March 4, 2025

ikayaniaamirshahzad@gmail.com

A Gentle Introduction to Graph Neural Networks

This article is one of two Distill publications about graph neural networks. Take a look at Understanding Convolutions on Graphs to understand how convolutions over images generalize naturally to convolutions over graphs. Graphs are all around us; real world objects are often defined in terms of their connections to other things. A set of objects, and the connections between them, are naturally expressed as a graph. Researchers have developed neural networks that operate on graph data (called graph neural networks, or GNNs) for over a decade. Recent developments have increased their capabilities and expressive power. We are starting to see

March 4, 2025

ikayaniaamirshahzad@gmail.com

Less is more: How ‘chain of draft’ could cut AI costs by 90% while improving performance

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of researchers at Zoom Communications has developed a breakthrough technique that could dramatically reduce the cost and computational resources needed for AI systems to tackle complex reasoning problems, potentially transforming how enterprises deploy AI at scale. The method, called chain of draft (CoD), enables large language models (LLMs) to solve problems with minimal words — using as little as 7.6% of the text required by current methods while maintaining or even improving accuracy. The findings were published in a

March 4, 2025

ikayaniaamirshahzad@gmail.com

You can now fine-tune open-source video models

AI video generation has gotten really good. Some of the best video models like tencent/hunyuan-video are open-source, and the community has been hard at work building on top of them. We’ve adapted the Musubi Tuner by @kohya_tech to run on Replicate, so you can fine-tune HunyuanVideo on your own visual content. Never Gonna Give You Up animal edition, courtesy of @flngr and @fofr. HunyuanVideo is good at capturing the style of the training data, not only in the visual appearance of the imagery and the color grading, but also in the motion of the camera and the way the characters

March 4, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

When reading articles about Gemini 2.0 Flash doing much better than GPT-4o for PDF OCR, it was very surprising to me as 4o is a much larger model. At first, I just did a direct switch out of 4o for gemini in our code, but was getting really bad results. So I got curious why everyone else was saying it’s great. After digging deeper and spending some time, I realized it all likely comes down to the image resolution and how chatgpt handles image inputs. I dig into the results in this medium article:https://medium.com/@abasiri/why-openai-models-struggle-with-pdfs-and-why-gemini-fairs-much-better-ad7b75e2336d Source link

March 4, 2025

ikayaniaamirshahzad@gmail.com

Reddit – Dive into anything

We value your privacy Reddit and its partners use cookies and similar technologies to provide you with a better experience. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. By rejecting non-essential cookies, Reddit may still use certain cookies to ensure the proper functionality of our platform. For more information, please see our Cookie Notice and our Privacy Policy. Source link

March 4, 2025

ikayaniaamirshahzad@gmail.com

Cloud-Focused .NET Aspire 9.1 Released — Visual Studio Magazine

News Cloud-Focused .NET Aspire 9.1 Released Along with .NET 10 Preview 1, Microsoft released .NET Aspire 9.1, the latest update to its opinionated, cloud-ready stack for building resilient, observable, and configurable cloud-native applications with .NET. Microsoft has been heavily focusing on .NET Aspire among all of its developer tooling, and v9.1 shipped yesterday (Feb. 25), along with .NET 10 Preview 1. [Click on image for larger view.] .NET Aspire (source: Microsoft). “We are excited to announce the release of .NET Aspire 9.1!” announced Maddy Montaquila, senior product manager. “This release includes several new features and quality of life improvements based

March 4, 2025

ikayaniaamirshahzad@gmail.com

Trump purge hits Chips Act office, two-fifths of staff to be terminated: Report

Two-fifths of the staff of the U.S. Chips Program Office, responsible for managing the Chips and Science Act, have been laid off by the Trump administration. 60 total employees will be cut by the end of today. According to Bloomberg, 20 employees previously accepted resignations last week, with the other 40 being “probationary” employees who had begun their positions within the last two years; those probationary workers were to be terminated by the end of Monday. It is no secret that President Trump is not a fan of the Chips Act. The law signed by the previous President Biden devotes

March 4, 2025

ikayaniaamirshahzad@gmail.com

Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization

Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization Antoine de Mathelin, François Deheeger, Mathilde Mougeot, Nicolas Vayatis; 26(4):1−68, 2025. Abstract This paper deals with uncertainty quantification and out-of-distribution detection in deep learning using Bayesian and ensemble methods. It proposes a practical solution to the lack of prediction diversity observed recently for standard approaches when used out-of-distribution (Ovadia et al., 2019; Liu et al., 2021). Considering that this issue is mainly related to a lack of weight diversity, we claim that standard methods sample in “over-restricted” regions of the weight space due to the use of “over-regularization” processes, such as weight

March 4, 2025

ikayaniaamirshahzad@gmail.com

Opera introduces browser-integrated AI agent

Opera has introduced “Browser Operator,” a native AI agent designed to perform tasks for users directly within the browser. Rather than acting as a separate tool, Browser Operator is an extension of the browser itself—designed to empower users by automating repetitive tasks like purchasing products, completing online forms, and gathering web content. Unlike server-based AI integrations which require sensitive data to be sent to third-party servers, Browser Operator processes tasks locally within the Opera browser. Opera’s demonstration video showcases how Browser Operator can streamline an everyday task like buying socks. Instead of manually scrolling through product pages or filling out

March 4, 2025

ikayaniaamirshahzad@gmail.com

How to Fine-Tune a FLUX Model in under an hour with AI Toolkit and a DigitalOcean H100 GPU

FLUX has been taking the internet by storm this past month, and for good reason. Their claims of superiority to models like DALLE 3, Ideogram, and Stable Diffusion 3 have proven well founded. With capability to use the models being added to more and more popular Image Generation tools like Stable Diffusion Web UI Forge and ComyUI, this expansion into the Stable Diffusion space will only continue. Since the model’s release, we have also seen a number of important advancements to the user workflow. These notably include the release of the first LoRA (Low Rank Adaptation models) and ControlNet models