Articles for category: AI Tools

March 16, 2025

ikayaniaamirshahzad@gmail.com

Replicate Intelligence #11 – Replicate blog

Welcome to Replicate’s weekly bulletin! Each week, we’ll bring you updates on the latest open-source AI models, tools, and research. People are making cool stuff and we want to share it with you. Without further ado, here’s our hacker-in-residence deepfates with an unfiltered take on the week in AI. Editor’s note This week I’m thinking about how multimedia AI models will lead to real-time interactive world generation, and how it’s the bull case for VR and the metaverse. I talked with fellow Replicant Mattt about it, and watched his talk (see Research Radar below), and I can’t get it out

March 16, 2025

ikayaniaamirshahzad@gmail.com

World’s largest open-source self-driving dataset

State-of-the art Vision Language Models and Large Language Models are trained on open-source image-text corpora sourced from the internet, which spearheaded the recent acceleration of open-source AI. Despite these breakthroughs, the adoption of end-to-end AI within the robotics and automotive community remains low, primarily due to a lack of high quality, large scale multimodal datasets like OXE. To unlock the potential for robotics AI, Yaak teamed up with the LeRobot team at 🤗 and is excited to announce Learning to Drive (L2D) to the robotics AI community. L2D is the world’s largest multimodal dataset aimed at building an open-sourced spatial

March 16, 2025

ikayaniaamirshahzad@gmail.com

Breathing New Life Into Games With RTX Remix

PC game modding is massive, with over 5 billion mods downloaded annually. Mods push graphics forward with each GPU generation, extend a game’s lifespan with new content and attract new players. NVIDIA RTX Remix is a modding platform for RTX AI PCs that lets modders capture game assets, automatically enhance materials with generative AI tools and create stunning RTX remasters with full ray tracing. Today, RTX Remix exited beta and fully launched with new NVIDIA GeForce RTX 50 Series neural rendering technology and many community-requested upgrades. Since its initial beta release, RTX Remix has been experimented with by over 30,000

March 16, 2025

ikayaniaamirshahzad@gmail.com

Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle. As these AI technologies become more sophisticated and widely adopted, maintaining consistent quality and performance becomes increasingly complex. Traditional AI evaluation approaches have significant limitations. Human evaluation, although thorough, is time-consuming and expensive at scale. Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Furthermore,

March 16, 2025

ikayaniaamirshahzad@gmail.com

A decoder-only foundation model for time-series forecasting

Time-series forecasting is ubiquitous in various domains, such as retail, finance, manufacturing, healthcare and natural sciences. In retail use cases, for example, it has been observed that improving demand forecasting accuracy can meaningfully reduce inventory costs and increase revenue. Deep learning (DL) models have emerged as a popular approach for forecasting rich, multivariate, time-series data because they have proven to perform well in a variety of settings (e.g., DL models performed well in the M5 competition). At the same time, there has been rapid progress in large foundation language models used for natural language processing (NLP) tasks, such as translation,

March 16, 2025

ikayaniaamirshahzad@gmail.com

Visualizing Neural Networks with the Grand Tour

The Grand Tour is a classic visualization technique for high-dimensional point clouds that projects a high-dimensional dataset into two dimensions. Over time, the Grand Tour smoothly animates its projection so that every possible view of the dataset is (eventually) presented to the viewer. Unlike modern nonlinear projection methods such as t-SNE and UMAP, the Grand Tour is fundamentally a linear method. In this article, we show how to leverage the linearity of the Grand Tour to enable a number of capabilities that are uniquely useful to visualize the behavior of neural networks. Concretely, we present three use cases of interest:

March 16, 2025

ikayaniaamirshahzad@gmail.com

Remaking Old Computer Graphics With AI Image Generation – Jay Alammar – Visualizing machine learning one concept at a time.

Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my childhood nightmares. I wrestled with Stable Diffusion, Dall-E and Midjourney to see how these commercial AI generation tools can help retell an old visual story – the intro cinematic to an old video game (Nemesis 2 on the MSX). This post describes the process and my experience in using these models/services to retell a story in higher fidelity graphics. Meet Dr. Venom This fine-looking gentleman is the villain in a video

March 16, 2025

ikayaniaamirshahzad@gmail.com

Not Always Bigger – O’Reilly

On May 8, O’Reilly Media will be hosting Coding with AI: The End of Software Development as We Know It—a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. If you’re in the trenches building tomorrow’s development practices today and interested in speaking at the event, we’d love to hear from you by March 12. You can find more information and our call for presentations here. Just want to attend? Register for free here. A few weeks ago, DeepSeek shocked the AI world by releasing DeepSeek-R1, a reasoning model with performance on

March 16, 2025

ikayaniaamirshahzad@gmail.com

Predicting the 2025 Oscar Winners with Machine Learning – The Official Blog of BigML.com

It’s that time of the year when the anticipation and speculation about the upcoming Academy Awards fills the airwaves and makes for juicy internet chatter. Unlike last year’s heavyweight nominees, Barbie and Oppenheimer (aka Barbenheimer), this year we have more of a level playing field potentially delivering surprise winners. This Sunday’s 97th Academy Awards will be hosted by Conan O’Brien from the Dolby Theatre at Ovation Hollywood. Once again, we are happy to do our part at BigML and publish our Machine Learning predictions as they have become an annual tradition. Emilia Pérez, the polarizing French-directed, Spanish-language musical about a trans

March 16, 2025

ikayaniaamirshahzad@gmail.com

Digital Difficulties | R-bloggers

[This article was first published on R Works, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don’t. Here’s another puzzle, from Henry Dudeney’s Perplexities column in Strand Magazine, January 1924. Arrange the ten digits, 1 2 3 4 5 6 7 8 9 0, in such order that they shall form a number that may be divided by every number from 2 to 18 without in any case a remainder. As an example, if