Pre-training large language models is expensive enough that even modest efficiency improvements can translate into meaningful cost and time savings. […]
Category: Staff
How to Build a Dynamic Zero-Trust Network Simulation with Graph-Based Micro-Segmentation, Adaptive Policy Engine, and Insider Threat Detection
In this tutorial, we build a realistic Zero-Trust network simulation by modeling a micro-segmented environment as a directed graph and […]
Enterprise AI Governance in 2026: Why the Tools Employees Use Are Ahead of the Policies That Cover Them
By the time a company’s legal team finishes drafting its generative AI acceptable use policy, a meaningful percentage of its […]
Fastino Labs Open-Sources GLiGuard: A 300M Parameter Safety Moderation Model That Matches or Exceeds Accuracy of Models 23–90x Its Size
As LLM-powered applications move into production — and as AI agents take on more consequential tasks like browsing the web, […]
Mira Murati’s Thinking Machines Lab Introduces Interaction Models: A Native Multimodal Architecture for Real-Time Human-AI Collaboration
Most AI systems today work in turns. You type or speak, the model waits, processes your input, and then responds. […]
Google DeepMind Introduces an AI-Enabled Mouse Pointer Powered by Gemini That Captures Visual and Semantic Context Around the Cursor
The mouse pointer has sat at the center of personal computing for more than half a century. It tracks cursor […]
Build a Hybrid-Memory Autonomous Agent with Modular Architecture and Tool Dispatch Using OpenAI
In this tutorial, we begin by exploring the architecture behind a hybrid-memory autonomous agent. This system combines semantic vector search, […]
Meet AntAngelMed: A 103B-Parameter Open-Source Medical Language Model Built on a 1/32 Activation-Ratio MoE Architecture
A team researchers from China have released AntAngelMed, a large open-source medical language model that the team describes as the […]
Tilde Research Introduces Aurora: A Leverage-Aware Optimizer That Fixes a Hidden Neuron Death Problem in Muon
Researchers at Tilde Research have released Aurora, a new optimizer for training neural networks that addresses a structural flaw in […]
A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies
In this tutorial, we explore skfolio, a scikit-learn compatible portfolio optimization library that helps us build, compare, and evaluate different […]