Accelerating LLM Startup on AMD Ryzen AI with Two-Phase Custom Op Initialization May 21, 2026 On-device LLM inference with AMD Ryzen™ AI processors splits the workload across the NPU and…
…With AI, software is more important than the hardware running it & developments such as TensorRT-LLM and bringing it to millions of RTX users is definitely a huge deal. The road to…
…Designed for researchers, educators, and robotics developers, the robot combines a traditional Robot Operating System (ROS) environment with modern embodied AI capabilities. The concept of SBC-powered humanoid robots is not new…
…Our AI platform, Tmax, runs on Kubernetes and supports the full ML lifecycle, from notebook-based development to training and inference deployment. As LLM usage increased across game-related scenarios — including intelligent…
Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
Measuring LLMs' ability to develop exploits
i take a lot of notes but rarely find time to organize them so the value of most notes in my personal context quietly disappears.Notecast is a local note engine i've been building to help me with that. it runs a three st…
https://www.bloomberg.com/news/articles/2026-05-22/deepseek-founder-declares-agi-goal-as-10-billion-round-advances
…NeMo Agent Toolkit for agent development LLM inference engine: Framework that handles tokenization, batching, KV-cache management, and hardware-accelerated execution so models meet real-time or near–real-time latency targets…
Get Started With CUDA CUDA Toolkit The NVIDIA® CUDA® Toolkit provides the development environment for creating high-performance, GPU-accelerated applications. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a…
…enabling developers to create specialized AI models even with limited or sensitive real data. It details how to build reproducible, structured product Q&A datasets by combining controlled sampling, LLM-based generation…
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