28
Apr
Aura EWC Knowledge Protection: Core Algorithm to Prevent Catastrophic Forgetting
Aura EWC Knowledge Protection: Core Algorithm to Prevent Catastrophic Forgetting Continual Learning is the ultimate goal of AI evolution, but it faces …
Posts
In-depth reflections on AI Agent architecture, industrial vision, and cutting-edge design aesthetics.
28
Apr
Aura Trajectory Streaming: Auto-Conversion from Execution Topology to Self-Evolving Datasets
Aura Trajectory Streaming: Auto-Conversion from Execution Topology to Self-Evolving Datasets In the AI field, the best data is not crawled from the …
28
Apr
Aura 8-Level Model Routing: The Golden Balance of Performance and Cost
Aura 8-Level Model Routing: The Golden Balance of Performance and Cost Letting an expensive flagship-level LLM perform a simple task like …
28
Apr
Aura Knowledge Dynamic Injection (KDC): The Semantic Loading Revolution beyond RAG
Aura Knowledge Dynamic Injection (KDC): The Semantic Loading Revolution beyond RAG Traditional RAG (Retrieval-Augmented Generation) is often global, …
28
Apr
Aura WASM Skill Sandbox: The Perfect Convergence of Security Isolation and High Performance
Aura WASM Skill Sandbox: The Perfect Convergence of Security Isolation and High Performance Giving AI Agents the capability to execute code and call …
28
Apr
Aura Four-Quadrant GC Lifecycle: Balancing Memory Locking and Auto-Release
Aura Four-Quadrant GC Lifecycle: Balancing Memory Locking and Auto-Release For an agent engine processing thousands of node jumps per second, …
28
Apr
Aura Immutable State Machine: One-Way Progression and Saga Compensation
Aura Immutable State Machine: One-Way Progression and Saga Compensation In classical software development, we are used to using try-catch-rollback. If …
28
Apr
Aura Source of Truth: Why SurrealDB is the Only Truth and Redis is Just a Trigger
Aura Source of Truth: Why SurrealDB is the Only Truth and Redis is Just a Trigger In the engineering practice of distributed AI systems, a fatal …
28
Apr
Aura Reinforcement Learning Evolution: Weight Convergence and Self-Evolution in the S3 Stage
Aura Reinforcement Learning Evolution: Weight Convergence and Self-Evolution in the S3 Stage If the Meta kernel is the brain and Matrix is the muscle, …
28
Apr
Aura Knowledge Revision: Surprise-Driven Updates via Kalman Filtering
Aura Knowledge Revision: Surprise-Driven Updates via Kalman Filtering If an agent’s knowledge base lacks dynamic revision capability, it quickly …