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 ...
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 ...
MUO on MSN

I was wrong about local LLMs, and these 4 myths were why

Stop thinking you need a $5,000 rig to run local AI — I finally ran a local AI on my old PC, and everything I believed was ...
IEEE

LLMs to Secure Consumer Networks: Open Problems and Future Directions

Abstract: The increasing complexity of consumer networks, characterized by the rapid adoption of Internet of Things devices and smart home technologies, exposes significant limitations in traditional ...
GitHub

Glaciohound/Science-of-LLMs-Tutorial

MIT License Copyright (c) 2025 Chi Han Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation ...
IEEE

Generative AI with Python and PyTorch: Navigating the AI frontier with LLMs, Stable Diffusion, and next-gen AI applications

Become an expert in Generative AI through immersive, hands-on projects that leverage today’s most powerful models for Natural Language Processing (NLP) and computer vision. Generative AI with Python ...
GitHub

A simple, powerful standard for structured content that works beautifully with LLMs, humans, and modern editors.

BlockDoc is based on a block-based architecture where content is organized into discrete, individually addressable blocks. Each block has: A semantic ID (like 'intro', 'section-1') A block type ('text ...