Jax

A developer released Jixp, a Lisp DSL for describing Jax neural nets, as a side project for learning Jax. The compiler reads Racket-style DSL and outputs Python, enabling simple model specification wi…

A blog post derives the backward pass of attention mechanisms step by step, using a concrete example to illustrate gradient computation for Q, K, and V matrices. The derivation builds on FlashAttentio…