A new study shows a widening gap in enterprise security as organizations expand the access of non-human and AI-driven identities […]
Category: agentic AI
RightNow AI Releases AutoKernel: An Open-Source Framework that Applies an Autonomous Agent Loop to GPU Kernel Optimization for Arbitrary PyTorch Models
Writing fast GPU code is one of the most grueling specializations in machine learning engineering. Researchers from RightNow AI want […]
How to Build a Netflix VOID Video Object Removal and Inpainting Pipeline with CogVideoX, Custom Prompting, and End-to-End Sample Inference
In this tutorial, we build and run an advanced pipeline for Netflix’s VOID model. We set up the environment, install […]
Meet ‘AutoAgent’: The Open-Source Library That Lets an AI Engineer and Optimize Its Own Agent Harness Overnight
There’s a particular kind of tedium that every AI engineer knows intimately: the prompt-tuning loop. You write a system prompt, […]
Inside the Creative Artificial Intelligence (AI) Stack: Where Human Vision and Artificial Intelligence Meet to Design Future Fashion
Fashion has always been about anticipation, determining what one would prefer to wear before they know it themselves. It’s meant […]
How to Build Production-Ready Agentic Systems with Z.AI GLM-5 Using Thinking Mode, Tool Calling, Streaming, and Multi-Turn Workflows
In this tutorial, we explore the full capabilities of Z.AI’s GLM-5 model and build a complete understanding of how to […]
Google DeepMind’s Research Lets an LLM Rewrite Its Own Game Theory Algorithms — And It Outperformed the Experts
Designing algorithms for Multi-Agent Reinforcement Learning (MARL) in imperfect-information games — scenarios where players act sequentially and cannot see each […]
OpenClaw gives users yet another reason to be freaked out about security
For more than a month, security practitioners have been warning about the perils of using OpenClaw, the viral AI agentic […]
Step by Step Guide to Build an End-to-End Model Optimization Pipeline with NVIDIA Model Optimizer Using FastNAS Pruning and Fine-Tuning
In this tutorial, we build a complete end-to-end pipeline using NVIDIA Model Optimizer to train, prune, and fine-tune a deep […]
Arcee AI Releases Trinity Large Thinking: An Apache 2.0 Open Reasoning Model for Long-Horizon Agents and Tool Use
The landscape of open-source artificial intelligence has shifted from purely generative models toward systems capable of complex, multi-step reasoning. While […]