CORE Innovations
RLHF(p)
Dynamic Pool of Experts (Dyn-PoE)
RAG-2-PEFT
A reinforcement learning loop using (p)assive reward signals from your app's real-world outcomes.
RAG-2-PEFT
Dynamic Pool of Experts (Dyn-PoE)
RAG-2-PEFT
Converts high-value RAG examples into PEFT model weights for an onboard Small Language Model (SLM).
Dynamic Pool of Experts (Dyn-PoE)
Dynamic Pool of Experts (Dyn-PoE)
Dynamic Pool of Experts (Dyn-PoE)
Autonomously spawns and trains new SLM "experts" for each distinct use case that it identifies.
Perpetual Model Validation (PMV)
Multi-Turn Reward Attribution (MTRA)
Dynamic Pool of Experts (Dyn-PoE)
A/B tests each new SLM model update against the incumbent and auto-scales the winner.
Multi-Turn Reward Attribution (MTRA)
Multi-Turn Reward Attribution (MTRA)
Multi-Turn Reward Attribution (MTRA)
Intelligently distributes RL rewards to the right outputs in conversational AI systems.
Organic Resource Management (ORM)
Multi-Turn Reward Attribution (MTRA)
Multi-Turn Reward Attribution (MTRA)
Automatically throttles its resource usage whenever it senses diminishing returns.