📁 LLM

The LLM archive monitors model releases, quantization updates, reasoning capabilities, and real-world deployment implications for local and hybrid AI. We focus on what materially changes selection and operations: context windows, latency, memory footprint, licensing, and evaluation evidence across open and commercial families. This section is designed for teams that need dependable model intelligence, not hype cycles. Pair these updates with the LLM pillar and references to hardware constraints and framework integration.

OpenAI is at the center of a heated debate after screenshots were shared showing advertising integrated into ChatGPT. The issue raises concerns about security and transparency of the model.

2025-12-08 Fonte

OnePlus is at the center of an international controversy over its integrated AI tool in its smartphones, which some users believe hides uncomfortable information.

2025-12-08 Fonte
📁 LLM AI generated

Using LLMs at Oxide

A recent development in the field of AI: using large models (LLMs) at Oxide. This approach promises significant improvements in performance and data processing speed.

2025-12-07 Fonte