DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
XDA Developers on MSN

I quantized a local LLM on my home server and ditched cloud AI for smart home control entirely

My Proxmox node now powers my entire smart home without touching a single cloud service ...

The new database world according to Google: Inexact queries and AI in everything

Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...
IEEE

AI-Powered SQL Generation Using Natural Language Processing for Intelligent Database Interaction

Abstract: Natural language interfaces for databases have gained significant attention as organizations seek to democratize data access for non-technical users while maintaining query correctness and ...
IEEE

LLM-IK: Solving Inverse Kinematics Using Large Language Models

Abstract: Inverse Kinematics (IK) is an integral part of robot manipulation. IK can be challenging to solve, and many computer-aided approaches have been proposed but each has its limitations. The ...
The Hacker News

Researchers Build Self-Replicating AI Worm That Operates Entirely on Local, Open-Weight Models

University of Toronto researchers have built and tested a proof-of-concept AI-driven computer worm that uses a locally hosted open-weight large language model to reason its way through a network, ...
MacRumors

Apple Brings Natural Language Creation to Shortcuts App

Apple today announced that users can now describe a shortcut in natural language, with Apple Intelligence automatically building the automation in the background. Previously, creating a Shortcuts ...