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 ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

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 ...

Many executives already use gen AI as a thought-partner and c0-strategist. But are these tools reliable across markets? New ...

The growing impact of expensive large language model outages demands a return to architectural basics in order to maintain ...

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

Abstract: We present an attention-based transformer learning approach for dynamic resource allocation in multi-carrier non-orthogonal multiple access (NOMA) downlink systems. We propose transformer ...

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

LLMs and agents are reshaping how consumers research and buy. Most companies aren’t ready. by Oguz A. Acar and David A. Schweidel In 2024 Gokcen Karaca, the head of digital and design at Pernod Ricard ...

Abstract: Skeleton-based human action recognition has gained significant attention due to the increasing accessibility of skeleton data. In this work, we propose a method for skeleton-based action ...