Articles for category: AI Tools

March 15, 2025

ikayaniaamirshahzad@gmail.com

Google’s all new multimodal, multilingual, long context open LLM

Today Google releases Gemma 3, a new iteration of their Gemma family of models. The models range from 1B to 27B parameters, have a context window up to 128k tokens, can accept images and text, and support 140+ languages. Try out Gemma 3 now 👉🏻 Gemma 3 Space Gemma 2 Gemma 3 Size Variants 2B 9B 27B 1B 4B 12B 27B Context Window Length 8k 32k (1B) 128k (4B, 12B, 27B) Multimodality (Images and Text) ❌ ❌ (1B) ✅ (4B, 12B, 27B) Multilingual Support – English (1B) +140 languages (4B, 12B, 27B) All the models are on the Hub and

March 15, 2025

ikayaniaamirshahzad@gmail.com

GTC 2025 – Announcements and Live Updates

What’s next in AI is at GTC 2025. Not only the technology, but the people and ideas that are pushing AI forward — creating new opportunities, novel solutions and whole new ways of thinking. For all of that, this is the place. Here’s where to find the news, hear the discussions, see the robots and ponder the just-plain mind-blowing. From the keynote to the final session, check back for live coverage kicking off when the doors open on Monday, March 17, in San Jose, California. GTC 2025: Real AI, Real Problems, Real Solutions 🔗 AI is confronting humanity’s toughest challenges

March 15, 2025

ikayaniaamirshahzad@gmail.com

Getting started with computer use in Amazon Bedrock Agents

Computer use is a breakthrough capability from Anthropic that allows foundation models (FMs) to visually perceive and interpret digital interfaces. This capability enables Anthropic’s Claude models to identify what’s on a screen, understand the context of UI elements, and recognize actions that should be performed such as clicking buttons, typing text, scrolling, and navigating between applications. However, the model itself doesn’t execute these actions—it requires an orchestration layer to safely implement the supported actions. Today, we’re announcing computer use support within Amazon Bedrock Agents using Anthropic’s Claude 3.5 Sonnet V2 and Anthropic’s Claude Sonnet 3.7 models on Amazon Bedrock. This

March 15, 2025

ikayaniaamirshahzad@gmail.com

Learning the importance of training data under concept drift

The constantly changing nature of the world around us poses a significant challenge for the development of AI models. Often, models are trained on longitudinal data with the hope that the training data used will accurately represent inputs the model may receive in the future. More generally, the default assumption that all training data are equally relevant often breaks in practice. For example, the figure below shows images from the CLEAR nonstationary learning benchmark, and it illustrates how visual features of objects evolve significantly over a 10 year span (a phenomenon we refer to as slow concept drift), posing a

March 15, 2025

ikayaniaamirshahzad@gmail.com

Curve Detectors

This article is part of the Circuits thread, an experimental format collecting invited short articles and critical commentary delving into the inner workings of neural networks. An Overview of Early Vision in InceptionV1Naturally Occurring Equivariance in Neural Networks Every vision model we’ve explored in detail contains neurons which detect curves. Curve detectors in vision models have been hinted at in the literature as far back as 2013 (see figures in Zeiler & Fergus ), and similar neurons have been studied carefully in neuroscience . We briefly discussed curve in our earlier overview of early vision, but wanted to examine them

March 15, 2025

ikayaniaamirshahzad@gmail.com

Generative AI and AI Product Moats – Jay Alammar – Visualizing machine learning one concept at a time.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Attribution example: Alammar, J (2018). The Illustrated Transformer [Blog post]. Retrieved from https://jalammar.github.io/illustrated-transformer/ Note: If you translate any of the posts, let me know so I can link your translation to the original post. My email is in the about page. Source link

March 15, 2025

ikayaniaamirshahzad@gmail.com

Think Different – O’Reilly

There’s something that bothers me about the chatter that AI is making “intelligence” ubiquitous. For example, in a recent Bloomberg article, “AI Will Upend a Basic Assumption About How Companies Are Organized,” Azeem Azhar wrote: As intelligence becomes cheaper and faster, the basic assumption underpinning our institutions—that human insight is scarce and expensive—no longer holds. When you can effectively consult a dozen experts anytime you like, it changes how companies organize, how we innovate and how each of us approaches learning and decision-making. The question facing individuals and organizations alike is: What will you do when intelligence itself is suddenly

March 15, 2025

ikayaniaamirshahzad@gmail.com

Grading our 2025 Oscars Machine Learning Predictions – The Official Blog of BigML.com

The 97th Academy Awards were handed out last night with over a billion people around the world witnessing the ceremonies successfully hosted by Conan O’Brien. The independent movie dubbed the strip club Cindrella story, Anora, was the big winner of the night with five wins with four in major categories. It was a Cindrella story, indeed, as Oscar-winning director Sean Baker achieved wonders by becoming the first person in Academy Awards history to win four Oscars in the same night for the same movie. This, despite a meager $6 million budget going up against the big budget behemoths like Dune:

March 15, 2025

ikayaniaamirshahzad@gmail.com

The ellmer package for using LLMs with R is a game changer for scientists

[This article was first published on Bluecology blog, 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. Why is ellmer a game changer for scientists? In this tutorial we’ll look at how we can access LLM agents through API calls. We’ll use this skill for created structued data from documents. We’ll use the R ellmer package (launched 25th Feb 2025). There are a few package options (I was also using tidychatmodels before). ellmer is

March 15, 2025

ikayaniaamirshahzad@gmail.com

Python 3.14.0 alpha 6 is out

Here comes the penultimate alpha. https://www.python.org/downloads/release/python-3140a6/ This is an early developer preview of Python 3.14 Python 3.14 is still in development. This release, 3.14.0a6, is the sixth of seven planned alpha releases. Alpha releases are intended to make it easier to test the current state of new features and bug fixes and to test the release process. During the alpha phase, features may be added up until the start of the beta phase (2025-05-06) and, if necessary, may be modified or deleted up until the release candidate phase (2025-07-22). Please keep in mind that this is a preview release and