📁 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 investing in stronger safeguards and defensive capabilities to enhance cyber resilience as AI models become more powerful in cybersecurity. We explain how we assess risk, limit misuse, and work with the security community to strengthen cyber resilience.

2025-12-10 Fonte

The release of GLM-4.6V represents a significant advancement in the field of large language models, offering integration of visual tools and structured multimodal generation.

2025-12-09 Fonte

Virgin Atlantic uses AI to speed up development, improve decision-making, and elevate customer experience. CFO Oliver Byers shares how the airline is using data and advanced technologies to deliver a personalized travel experience

2025-12-09 Fonte