Acing AI — AI education, tutorials, research and datasets for data scientists
Running LLMs Locally in 2026: A Step-by-Step Setup Guide for Ollama, llama.cpp, and vLLM
A hands-on guide to running LLMs locally in 2026: install Ollama, verify the API, then build llama.cpp and serve with vLLM, with the VRAM and bandwidth math behind each step.
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Curated technical papers and hands-on implementation guides for the modern AI engineer.
Effective Context Length: Why 1M-Token Windows Fall Short, and When RAG Still Wins
Effective context length is far shorter than the advertised window. What RULER and NoLiMa reveal about 1M-token models, why context rots, and when RAG still wins.
Speculative Decoding in vLLM: A Practical Guide to Faster LLM Inference
A hands-on speculative decoding tutorial for vLLM: how it works, runnable n-gram and draft-model examples on Qwen3, EAGLE-3, and where the speedup disappears.
ArticleQuantization Deep Dive: FP8 Training, FP4, and the Outlier Problem
ArticleThe LLM Evaluation Crisis: Contamination, Saturation, and the Judge Problem
TutorialOptimizing CUDA Kernels for Generative Adversarial Networks
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