Pure Python Paged Attention Engine with LRU KV‑Cache Eviction
A step‑by‑step guide to building a pure Python paged attention engine with LRU cache eviction, perfect for demonstrating systems‑level skills to ML recruiters.
A step‑by‑step guide to building a pure Python paged attention engine with LRU cache eviction, perfect for demonstrating systems‑level skills to ML recruiters.
Learn how to implement a paged attention KV cache with H2O eviction in pure Python, a concrete project that demonstrates low‑latency data structures, eviction policies, and production‑ready patterns for AI/ML infrastructure.
A hands‑on guide to building a from‑scratch speculative decoding engine in pure Python, with draft‑then‑verify sampling, temperature, top‑k and nucleus (top‑p) sampling, all using only numpy. Perfect for a CV‑boosting side project.
A practical guide to building a lazy weight loader for large LLMs using safetensors, async prefetch, and checksum verification.
A step‑by‑step guide to building a pure Python GGUF weight loader that streams quantized tensors using memory‑mapped files, complete with code, testing, and production‑ready extensions.