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.

New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.

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 ...
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 ...