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 — ...

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.
TechCrunch

The only AI glossary you’ll need this year

Artificial intelligence is rewriting the world and simultaneously inventing a whole new language to describe how it’s doing it. Sit in on any product meeting, pitch, or panel these days, and you’ll ...

Query Fan-Out Framework Redefines LLM Visibility Strategy

Why Traditional SEO Fails in AI Search - The Query Fan-Out Framework Explained Coral Springs, United States - July 4, ...
TDWI

From Pilot to Production: Why LLM Features Stall, and a Readiness Checklist for Data Leaders

Pilots that looked promising do not always survive the transition, and the failure pattern is consistent enough that data leaders can plan around it. This article describes three failure modes that ...
InfoQ

PostgreSQL 19 Beta Introduces SQL Graph Queries and Concurrent Table Repacking

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
XDA Developers on MSN

I gave a local LLM full control over my Proxmox node, and it worked better than I expected

It's actually good enough for simple management tasks ...