Explores kernel optimization techniques for achieving real-time video generation on AWS Trainium hardware accelerators, focusing on performance improvements through kernel-centric approaches.

A continual learning model trained from scratch on resource-constrained hardware, using an 8GB VRAM laptop with batch-1 streaming data.

A technique for fine-tuning the Qwen 4B language model to optimize SQL query plans using reinforcement learning, achieving 81% faster execution than Postgres's default planner.

A fork of deltafin that implements ARGODRIVE storage optimization to stream the Kimi K3 2.8T mixture-of-experts model from SSDs on Apple Silicon hardware, including benchmarking tools.

Hardware is cool again.