Build a Pure Python LLM Decoder from Scratch: Temperature, Top-k, and Top-p Sampling
A hands-on guide to implementing temperature, top-k, and top-p sampling in pure Python, with runnable code that showcases systems engineering skills.
A hands-on guide to implementing temperature, top-k, and top-p sampling in pure Python, with runnable code that showcases systems engineering skills.
A hands-on guide to building a pure-Python transformer model with a custom decoding loop implementing temperature, top-k, and top-p sampling — a CV-worthy project that demonstrates deep ML systems knowledge.
A hands-on guide to building a from-scratch LLM sampler with temperature scaling, top-k/top-p warping, and multinomial sampling, benchmarked against Hugging Face. Includes runnable code and a roadmap to production.
Implement an adaptive nucleus sampler in Python that adjusts temperature and top‑p from token entropy, demonstrating systems thinking for 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.