A new orchestration approach, called Orchestral, is betting that enterprises and researchers want a more integrated way to ...
Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
They shifted what wasn’t the right fit for microservices, not everything.) Day 6: Finally, code something. (Can’t wait to see how awesome it will be this time!!) What I learned today: Building a ...
Threat actors are systematically hunting for misconfigured proxy servers that could provide access to commercial large ...
[08/05] Running a High-Performance GPT-OSS-120B Inference Server with TensorRT LLM ️ link [08/01] Scaling Expert Parallelism in TensorRT LLM (Part 2: Performance Status and Optimization) ️ link [07/26 ...
One of the major things we talk about with large language models (LLMs) is content creation at scale, and it’s easy for that to become a crutch. We’re all time poor and looking for ways to make our ...
The Washington-based startup launched the Nvidia H-100 GPU, which boasts 100 times the compute of other chips previously launched into orbit, CNBC reported on Wednesday. The company has been training ...
Forbes contributors publish independent expert analyses and insights. Brad Templeton, who was early at Waymo, covers transportation's future Waymo has published a modestly more detailed description of ...
For years, a US telecommunications company has been building proprietary AI models using phone and video calls placed by inmates in US prisons as building blocks. According to MIT Technology Review, ...
ZigFormer is a fully functional implementation of a transformer-based large language model (LLM) written in Zig programming language. It aims to provide a clean, easy-to-understand LLM implementation ...
The Dark Side of LLMs: Rising Energy and Water Demands Spark Sustainability Fears Your email has been sent The training of AI models and AI inferencing consumes vast amounts of water. How can energy ...