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 Tech Edvocate

How to connect to MySQL remotely

Spread the love“`html 1. Understanding MySQL and Its Importance MySQL is one of the most popular relational database management systems (RDBMS) in the world, powering countless applications ranging ...

How to use Google query expansion to improve content visibility

Your content may already be surfacing for searches you never planned for. Here's how to identify those opportunities and act ...
Tech Xplore

Next-generation database reduces AI hallucinations and improves accuracy by 78%

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...
Independent.ie

Letters: Our political leaders should follow Mark Carney’s example and communicate in two languages

The visit of Canadian prime minister Mark Carney to Ireland appears to have been a remarkable success. He seemed to have an instant rapport with the crowds who greeted him everywhere he went.
IEEE

Example Generalizing Network Configuration Synthesizer via Graph-Informed Large Language Models

Abstract: Network configuration synthesis promises to increase the efficiency of network management by reducing human involvement. However, despite significant advances in this field, existing ...