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

The new feed system will analyze what users read, like, and discuss to connect related topics and push insightful posts to ...

A man breached Windsor Castle with a crossbow after his large language model (LLM)-based companion encouraged an assassination plan. A father’s question about pi evolved into more than 300 h of ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

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 ...

Database research and development often require a large number of SQL queries for benchmarking purposes. However, acquiring real-world SQL queries is challenging due to privacy concerns, and existing ...

Abstract: Recent advances in deep learning-based signal re-representation methods have achieved significant breakthroughs in tasks like signal modulation recognition. In this paper, we propose a ...

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 ...

In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an ...