Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting a message. This article rethinks these two major features and introduces the concept and advantage of semantics that characterizes a...
Author - John Deacon
Discover how the CAM Objective Function redefines AI optimization by aligning key elements like loss functions, world models, and ethical oversight. This structured, multi-layered approach improves LLM performance through adaptive feedback, intent...
Discover how the Core Alignment Model (CAM) uses a Dynamic Attractor and Semantic Distillation to transform noisy LLM outputs into purpose-driven, ethically sound responses. By filtering through layered adaptive processes, CAM solves key issues like...