A hands‑on guide to building a pure‑Python continuous‑batching inference engine that packs variable‑length LLM requests into GPU‑friendly batches with adaptive timeout and priority scheduling.
Dragonfly reimagines Redis as a multi-threaded cache engine, combining full protocol compatibility with scalable performance for high-throughput applications.
Learn to build a memory‑efficient GGUF weight loader that dequantizes tensors on the fly, ideal for low‑resource inference.
This tutorial walks you through implementing a unigram language model tokenizer with EM training and subword regularization in pure Python. It showcases the algorithmic and systems skills that hiring managers look for.
Learn to implement a streaming KV cache with attention sinks in Python, enabling infinite context for large language models.