Explore LLM On-Premise

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

Lenovo says over 90% of AI pilots fail to reach deployment

According to Lenovo, more than half of firms are actively exploring agentic AI, yet over 90% of AI pilot projects fail to move beyond the testing phase and into

FGDCC: Fine-Grained Deep Cluster Categorization -- A Framework for Intra-Class Variability Problems in Plant Classification

A team of researchers has developed a new algorithm to improve plant analysis. The method, known as FGDCC, uses classification to overcome the obstacles in repr

PharmaShip: An Entity-Centric, Reading-Order-Supervised Benchmark for Chinese Pharmaceutical Shipping Documents

A new dataset for the pharmaceutical industry has been launched to test artificial intelligence models. PharmaShip covers three tasks: entity recognition, relat

NeurIPS: AI hallucinations contaminate scientific papers

An analysis by GPTZero reveals that numerous studies presented at the NeurIPS conference contain citations generated by artificial intelligence. This raises con

The Impact of Efficient AI Models on the Economics of Artificial Intelligence

The ability to handle complex AI workloads with more efficient and less costly models, while maintaining quality, could radically redefine the economics of arti

Why AI Needs a Glossary (and What It Has to Do with On-Premise Deployment)

Smartschool and AI for admission tests: why teaching is harder than answering

Mistral releases Leanstral 1.5: formal verification with 6 billion active parameters

DeepSeek Unveils DSpark: A Speed Leap for LLM Inference

Zuckerberg: Meta’s AI agents progressing slower than expected

China's Z.ai launches GLM-5.2, challenging OpenAI and Anthropic