XDA Developers on MSN

I replaced cloud LLMs with local models running off a Proxmox LXC, and the performance trade-off was worth it

Turning my old GPU into an LLM-hosting behemoth was the best decision ever ...
IEEE

Context-Aware Adaptive OCR using Vision Transformers and LLM-Guided Recognition

Abstract: This paper introduces the Semantically-Guided Adaptive Recognition Network (SG-ARNet), a robust end-to-end OCR architecture designed to address the challenges associated with modern ...

LLMs believe false statements even after explicit warnings that they’re false

New research on so-called “negation neglect” finds that LLMs in a roughly analogous situation don’t behave that way. They ...

Researchers automated LLM reasoning strategy design and cut token usage by 69.5%

Researchers from Meta and Google built AutoTTS to automatically discover optimal LLM reasoning strategies, cutting token ...
Infosecurity Magazine

All Major LLMs Exposed to Multi-Turn Manipulation, Warn Researchers

Researchers at Cisco tested several well-known LLMs. They found of them could be tricked into bypassing guardrails, just ...
InfoQ

Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

Democratizing AI adoption with Tether’s Bitnet LLM fine-tuning framework

While tech giants lock smaller businesses out of advanced AI, Tether is using localized fine-tuning and P2P networks to democratize superintelligence for billions of people.
XDA Developers on MSN

I finally stopped forcing local LLMs and switched back to cloud AI

Cloud AI isn't perfect, but it actually works.