📁 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.

A new publication analyzes the faithfulness and stability of neuron explanations to ensure trustworthy interpretation. The proposed method offers a clear direction for future research in this critical field.

2025-12-23 Fonte

The latest version of ChatGPT's Llama model introduces a new feature that allows users to directly influence the enthusiasm level of their conversations. This innovation enables more personalized interactions with the platform.

2025-12-23 Fonte
📁 LLM AI generated

I rischi nascosti degli LLM

Gli LLM stanno rivoluzionando l'industria tecnologica, ma anche con loro vengono associate nuove sfide di sicurezza. Un recente rapporto dell'OWASP elenca i rischi più critici da prioritare.

2025-12-23 Fonte

Most enterprise AI coding pilots underperform (Hint: It's not the model). The introduction of agent-based code generation in the enterprise often proves to be unsuccessful due to a lack of context design. The key to success is engineering context, which means creating a stable and structured environment for these systems

2025-12-13 Fonte

The latest update to iOS 26.2 includes new features for apps, the interface and more, including an option to adjust screen opacity on the lock screen.

2025-12-13 Fonte

Apple and Google have released critical security patches to fix two zero-day vulnerabilities that were actively exploited in a sophisticated attack.

2025-12-13 Fonte