Generative artificial intelligence with strong large language models (LLM) as available in ChatGPT, Gemini, Copilot, etc. or in locally running LLMs poses a challenge for the evaluation of student …| Finn Årup Nielsen's blog
Salesforce AI Research released CoDA-1.7B, a diffusion-based language model for code that generates by denoising whole sequences with bidirectional context, updating multiple tokens in parallel rather than left-to-right next-token prediction. The research team published both Base and Instruct checkpoints and an end-to-end training/evaluation/serving stack. Understanding the architecture and training CoDA adapts a 1.7B-parameter backbone to […] The post Salesforce AI Research Releases CoDA-1...| MarkTechPost
We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text, we focus on training a transformer-based architecture that learns quantitative relationships hidden within natural language descriptions. We start by generating synthetic text-to-number data, tokenizing it efficiently, […] The post A Coding Implementation to Build a Transformer-Based Regressi...| MarkTechPost
Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and even neural network accuracy and latency—without hand-engineered features. A 300M-parameter encoder–decoder initialized from T5-Gemma achieves strong rank correlations across heterogeneous tasks and languages, using a single text-to-number decoder […] The post Can a Small Language Model ...| MarkTechPost
OpenAI reportedly closes new $6.6B secondary sale at $500B valuation - SiliconANGLE| SiliconANGLE
MCP bridges AI and WordPress, enabling automation, personalization and secure integrations that deliver real-world impact. The post MCP (Model Context Protocol) for WordPress: AI Breakthrough You Need to Adopt appeared first on Essential Addons for Elementor.| Essential Addons for Elementor
Alibaba Releases Tongyi DeepResearch: A 30B-Parameter Open-Source Agentic LLM Optimized for Long-Horizon Research| MarkTechPost
IBM releases GraniteDocling, an open-source compact document AI model with improved accuracy, multilingual support, and enterprise readiness| MarkTechPost
It’s been recognized for far too long that organizations spend as much as 30-40% of their time searching for or recreating information. Now, imagine a dedicated analyst who doesn’t just look for or analyze data for you but also roams … Continue reading The post When Should You Use An AI Agent? Part One: Understanding the Components and Organizational Foundations for AI Readiness appeared first on Enterprise Knowledge.| Enterprise Knowledge
The rapid evolution of AI is transforming how enterprises interact with data. As organizations look to deploy AI applications like chatbots and internal search tools, one of the biggest challenges they face is data readiness. Without a reliable, structured data layer, AI agents often produce inaccurate or incomplete answers. This lack of control can put... The post What is Model Context Protocol (MCP) and How Does Structured Data Play a Role? appeared first on Schema App Solutions.| Schema App Solutions
Stanford study finds AI has reduced availability of entry-level programming jobs - SiliconANGLE| SiliconANGLE
Mixture-of-Experts MoE Architecture Comparison: Qwen3 30B-A3B vs. GPT-OSS 20B| MarkTechPost
Talking about AI (artificial intelligence) often veers conversations toward lofty, futuristic scenarios. But there’s a quieter, more fundamental way AI is making a big difference today: serving as an accessibility tool that helps many of us to accomplish tasks more efficiently and comfortably than otherwise would be possible. And often, enabling us to complete tasks […]| DIYPS.org
Every time I hear that all health conditions will be cured and fixed in 5 years with AI, I cringe. I know too much to believe in this possibility. But this is not an uninformed opinion or a disbelief in the trajectory of AI takeoff: this is grounded in the very real reality of the […]| DIYPS.org
Cohere releases Command R+ AI model designed for enterprise-scale use - SiliconANGLE| SiliconANGLE
Yeah, yeah, second AI post in a row. I promise not to make a habit of it. But I saw someone else mention that you can feed them XML and the AI will read the execution plan. I had to test it out and then overshare my results with all of you. We Need A […]| Grant Fritchey
If you’ve scoffed at, dismissed, or tried using AI and felt disappointed in the past, you’re not alone. Maybe the result wasn’t quite right, or it missed the mark entirely. It’s easy to walk away thinking, “AI just doesn’t work.” But like learning any new tool, getting good results from AI takes a little persistence,…| DIYPS.org
Cross-government and cross-public sector working are increasingly important, with departments appreciating that colleagues are likely to be facing the same issues with the same solutions. This makes communities of practice and communities of interest such as the Data Science Community …| Data in government
Vibe coding apps is one things, but what about deploying and distributing them? That still requires some elbow grease, and I’ve described my experiences with both Apple and Google below for my first apps in each platform. (I’m writing this from the perspective of someone familiar with coding primarily through bash scripts, JavaScript, Python, and […]| DIYPS.org
You Are Here: Home » 2025 » March| QuickRead | News for the Financial Consulting Professional
There are many excellent AI papers and tutorials that explain the attention pattern in Large Language Models. But this essentially simple pattern is often obscured by implementation details and opt…| Bartosz Milewski's Programming Cafe
Just do it. And by it, I mean anything. You don’t need permission, but if you want permission, you have it. If you’ve ever found yourself feeling stuck, overwhelmed (by uncertainty or the status of the world), and not sure what to do, I’ll tell you what to do. Do something, no matter how small.…| DIYPS.org
One of the things I wish people would consider more often when thinking about AI is how they can use it to scale themselves. What are some time-consuming things that they currently have to do themselves that AI could do for them to streamline their output and increase their productivity? Productivity for giving them more…| DIYPS.org
If I had a nickel every time I saw conflicting advice for people with EPI, I could buy (more) pancreatic enzyme replacement therapy. (PERT is expensive, so it’s significant that there’s so much conflicting advice). One rule of thumb I find handy is to pause any time I see the words “too much” or “too…| DIYPS.org
Skeptics say LLMs don’t understand JSON-LD. Here’s why that argument is outdated—and why structured data is the future of AI.| Schema App Solutions
If you’re feeling overwhelmed by the rapid development of AI, you’re not alone. It’s moving fast, and for many people the uncertainty of the future (for any number of reasons) can feel scary. One reaction is to ignore it, dismiss it, or assume you don’t need it. Some people try it once, usually on something…| DIYPS.org
Discover a new open source and python based agentic framework where agents can be built using a variety of complementary techniques (state machines, NLP, RAG, LLMs) and talk to each other| Livable Software
s1: A Simple Yet Powerful Test-Time Scaling Approach for LLMs| MarkTechPost
Nvidia and Oracle back $270M funding round for generative AI startup Cohere - SiliconANGLE| SiliconANGLE
Large Language Models (LLMs) and their multi-modal variants offer significant benefits in automating complex processes, with Document Understanding (DU) being a particularly promising application. In DU, the challenge often lies in integrating text, layout, and graphical elements to accurately extract necessary information. In a new paper Arctic-TILT. Business Document Understanding at Sub-Billion Scale, a research| Synced
Today Thomson Reuters acquired Safe Sign Technologies, a UK legal large language model (LLM) startup with a team of world-class AI experts and early-stage language models. Joel Hron, chief technology officer, Thomson Reuters, discussed why the acquisition is a boon for Thomson Reuters customers across all professions. Read Hron’s perspective on the acquisition on the Thomson ...| Legal Current
Foundation models, also known as general-purpose AI systems, are a rising trend in AI research. These models excel in diverse tasks such as text synthesis, image manipulation, and audio generation. Notable examples include OpenAI’s GPT-3 and GPT-4, which power the conversational agent ChatGPT. In a new paper The Llama 3 Herd of Models, a Meta| Synced
Ragie launches with $5.5M in funding to ease RAG application development - SiliconANGLE| SiliconANGLE
We propose a Software Product Line approach for expressing and generating combinations of LLMs, e.g. using a Mixture of Experts technique| Modeling Languages
