Phase 3

In Haptic's third phase, we're excited to roll out several new products and initiatives. We'll be leveraging Hierarchical reinforcement learning for our complex Large Language Models (LLMs) with memory, while also using inverse reinforcement learning to enhance our reward models. Context-based feedback collection will also be introduced in our AI chatbots and assistants, thanks to embedded feedback.

Alongside these advancements, we'll be introducing a production data API infrastructure to ensure our clients have real-time data at their fingertips. A key milestone for this phase is our move towards decentralising the query-feedback database. By using web3 native database services like Arweave/Filecoin, we're aiming to enhance efficiency, liveness and the cost basis for client projects. By Q4 2024, we anticipate that decentralised compute will have matured significantly, and we plan to migrate our retraining process to these services, moving away from web2 services.