Vector spaces, their relationship to embeddings in LLMs, the meaning of dimensions, the algorithms that generate embeddings, and their role in accuracy and nuance in prompt engineering. 1. What Is a Vector Space in the Context of AI...
Author - John Deacon
Rooted in the philosophy of Strategic Thought Leadership, John's work bridges technical systems, human cognition, and organizational design, helping individuals and enterprises structure clarity, alignment, and sustainable growth into every layer of their operations.
When building a large contextual database for real-time AI retrieval, using semantic embeddings can greatly simplify managing nuanced context. However, directly reading and writing to embeddings comes...
Mission Layer (Core Purpose and Goal Alignment) Core Purpose: The CAM Objective Function emphasizes the alignment of real-time observation with the deeper layers of human cognition and perception. By engaging methodologies that...