2 posts
Kizzasi 0.2.1 turns the Pure-Rust AGSP into a full training + deployment stack: full backprop through SSM recurrence, RWKV v5/v7, Neural ODE and Spiking models, LoRA fine-tuning, GGUF loading, gRPC/REST servers, Python bindings, and no_std embedded inference.
Kizzasi 0.1.0 is the first release of an Autoregressive General-Purpose Signal Predictor (AGSP) in Pure Rust — neuro-symbolic prediction for audio, sensors, robotics, and video that fuses State Space Models (Mamba/RWKV/S4) with TensorLogic constraints.