Topic: jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.

JAX-based neural network library

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.

JAX-based neural network library

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

From teacher to tiles — a from-scratch LLM distillation & serving engine: custom Triton/CUDA kernels, FSDP distillation, paged-KV continuous batching, speculative decoding, a Rust gateway, a JAX oracle, and interpretability tooling.