First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

This project implements a complete evaluation pipeline for Large Language Models running locally using Ollama. It provides a web interface where users can submit prompts, receive model responses, and ...

Abstract: To perform system crash diagnosing and IT support tickets, this paper intends to design and develop an Ai-enhanced version of a Windows System Automation Hub. The study aims to save time on ...

The challenge of wrangling a deep learning model is often understanding why it does what it does: Whether it’s xAI’s repeated struggle sessions to fine-tune Grok’s odd politics, ChatGPT’s struggles ...

Large language models (LLMs) and diffusion models now power a wide range of applications, from document assistance to text-to-image generation, and users increasingly expect these systems to be safety ...

In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models against adaptive and paraphrased attacks. We combine semantic similarity analysis, rule-based ...

One of the biggest SEO challenges right now isn’t AI. It’s the irresponsible misinformation surrounding it. SEO isn’t dying — it’s evolving. That means it’s on us to understand how the industry is ...

And when that happens, LeCun says, even more investment will be required to create the superintelligence technology that will replace LLM-based AI—systems he says should already be the focus of ...

Here’s a question that I think lots of people in higher education may be confronting over the next few weeks: What should we do with the personal statement for graduate admissions? I’ve now seen ...

With new updates in the search world stacking up in 2026, content teams are trying a new strategy to rank: LLM pages. They’re building pages that no human will ever see: markdown files, stripped-down ...