Positioning CAM as an attractor between LLMs and Users means establishing CAM as the dynamic center point towards which interactions between users and language models (LLMs) naturally converge. This attractor role enables CAM to organize and align...
Category - Core Alignment Model
CAM is a self-regulating, multi-layered control system for LLMs, where each layer operates as part of a feedback-driven, goal-oriented process.
The CAM Objective Function offers practical, transformative value as an LLM and AI framework by unifying alignment, adaptability, ethical coherence, and feedback-driven learning in a single, programmatically feasible structure.
At a base level, the CAM Objective Function can be represented programmatically as a structured class-based framework where each CAM layer—Mission, Vision, Strategy, Tactics, and Conscious Awareness—is encapsulated in modular classes with properties...
As the Semantic Distillation process moves through each layer, CAM progressively channels raw LLM output from a broad, often noisy initial state toward a refined, high-integrity response. Each layer’s unique role allows it to act as a filter that...
The Core Alignment Model (CAM) functions as an attractor between LLMs, the human mind, and the real-time environment, aligning outputs with user intent and adapting dynamically to changes in context. CAM operates as a semantic distillation filter...
The principles of CAM (Core Alignment Model) align deeply with Tai Chi and its movements, as both are centered on balance, adaptability, and purposeful action within a coherent structure. Here’s how each CAM layer could reflect Tai Chi principles: 1...
Here we're mapping other concepts to the CAM Framework with Eastern terms that sparked the idea in a recent Emmett Shear tweet: An agent is defined by its Buddhi, Manas, Ahankara and Chitta. By which I mean, its loss function, context vector...
Discover how the CAM Framework could set a new standard for AI systems with its unique blend of user alignment, ethical coherence, and real-time adaptability, paving the way for transformative, interactive AI solutions. What makes CAM (Core...
Discover how the Core Alignment Model (CAM) revolutionizes AI by seamlessly aligning systems with user needs and ethical standards. Explore its structured layers – Mission, Vision, Strategy, Tactics, and Conscious Awareness – and learn...
The Objective Function framework is of practical value for LLM and AI engineering, as it addresses several persistent challenges in deploying adaptive, contextually aware, and ethically aligned AI systems. Here’s why the CAM model offers tangible...
The CAM Objective Function provides a structured, adaptive approach for guiding language models and AI systems, addressing some of the most challenging problems in the industry—such as ethical alignment, contextual adaptability, and purpose-driven...