Part 7/11:
This dynamic recall underpins the AI's ability to adapt to complex situations, maintain consistency, and understand nuanced scenarios.
4. Learning and Self-Improvement
Crucial to the system is a learning mechanism where:
Data from successes and failures are curated
Microservices fine-tune their models based on feedback
Multiple models are maintained for comparison, with ongoing performance evaluation
This decentralized, model-agnostic process mirrors human synaptic plasticity, enabling continuous improvement in reasoning, decision-making, and task execution.