Explore LLM On-Premise

Complete guide to running AI models locally: hardware, stack, and privacy.

Disrupting malicious uses of AI: threats and defenses

A new report examines how malicious actors combine AI models with websites and social platforms for illicit activities. The document focuses on the implications

Log Analysis in AI Systems: A Standardized Pipeline for Reproducibility

AI systems generate significant volumes of logs, essential for understanding model behavior and capabilities. Despite its importance, a standardized approach to

New Technology for Better Language Model Understanding

Researchers have developed a new technology that enables language models to better understand context and relationships between concepts. This innovation could

BNY builds "AI for everyone, everywhere" with OpenAI

BNY is using OpenAI technology to expand AI adoption enterprise-wide. Through its Eliza platform, 20,000+ employees are building AI agents that enhance efficien

AI tokens emerge as new workplace metric, reshaping productivity and competition

The article explores the emergence of AI tokens as a new metric for measuring productivity and competition in the workplace. It analyzes how this new form of ev

Four Axioms to Reveal the Hidden Thoughts of LLMs

LLM Agents with Foresight: A Three-Stage Training Pipeline for Internal World Models

When personality matters for multi-agent LLM teams

The flood of trash models on HuggingFace and what it means for AI deployment

Ornith-1.0-35B GGUF: Native MTP Graft Boosts Local Decoding by 35%

Does Dario Amodei misunderstand open-source AI? Why it matters for on-premise deployment