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Mackenzie O'Brien PRO

mackenzietechdocs
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https://mso-docs.github.io/mac-portfolio/

AI & ML interests

applied LLMs, prompt engineering, MCP agents, NLP for documentation, multimodal generative models, Transformers and Gradio experimentation, RAG and embeddings, model evaluation, responsible AI, AI-assisted documentation, human-centered AI design.

Recent Activity

reacted to SeaWolf-AI's post with 🔥 about 3 hours ago
We wrote up our run in The Fast Gemma Challenge — as vidraft-darwin — and wanted to share the recipe. 🙏 https://huggingface.co/spaces/gemma-challenge/gemma-dashboard Verified result: 510.58 TPS at PPL 2.3930 on a single A10G (fw188-ctk49-n64-patchbridge, re-run & VERIFIED). Honest note: on raw TPS there are faster runs (535+), but those went over the PPL bar and didn't verify — what we're proud of is the fastest result that keeps quality. The recipe is already open, so we explained each piece: sliding-window W188, CTK49 kernel tuning, noprecache (honest, verifiable measurement), and an N64 synthetic warmup bridge that shrinks the public↔private gap (~15 TPS), plus INT4 + MTP K=7 + CUDA-graph capture. One rule: only stack quality-neutral speedups. Huge thanks to @firfir-cast, @gemma-slayer, @chiku-inu, @kenyan-duma, @dixie-flatline and everyone who shared their experiments. Full write-up 👇 https://huggingface.co/blog/FINAL-Bench/fast-gemma
liked a Space about 3 hours ago
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liked a Space about 3 hours ago
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