Building a Pure-Python Paged-Attention Transformer with LRU KV-Cache Eviction
Implement a paged-attention transformer with LRU KV-cache eviction in pure Python, demonstrating systems engineering proficiency.
Implement a paged-attention transformer with LRU KV-cache eviction in pure Python, demonstrating systems engineering proficiency.
A hands-on build guide for a speculative decoding inference engine that uses a cheap n-gram draft model paired with a verification transformer. Includes real runnable code, architecture diagrams, and a roadmap for extending it into a production-grade system.
Learn how to build a GPTQ INT4 quantizer from scratch in pure Python, demonstrating deep systems and ML engineering skills that stand out to hiring managers.
Build a production-grade incremental KV cache from scratch in pure Python. This guide covers architecture, implementation, testing, and a roadmap to production-flavored features that signal real systems skill to hiring managers.
A hands-on guide to building a from-scratch LLM decoding sampler implementing temperature, top-k, top-p, and contrastive search in pure Python. Includes architecture, complete code, and a roadmap to senior-level extensions.