NVIDIA NeMo Evaluator -- Model Diagnosis & Validation: Hirundo's diagnosis layer uses NeMo Evaluator to automatically benchmark LLMs before and after unlearning across safety and utility metrics, ...

Key Takeaways LLM workflows are now essential for AI jobs in 2026, with employers expecting hands-on, practical skills.Rather than courses that intensively cove ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw workspace-compatible intelligence ...

You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Unlike Nvidia's earlier Grace processors, which were primarily sold as companions to GPUs, Vera is positioned as a ...

Why send your data to the cloud when your PC can do it better?

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 ...

New research from the University of Waterloo shows that artificial intelligence (AI) still struggles with some basic software development tasks, raising questions about how reliably AI systems can ...

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...