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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.
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Curated technical papers and hands-on implementation guides for the modern AI engineer.
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.
Quantization Deep Dive: FP8 Training, FP4, and the Outlier Problem
A technical guide to LLM quantization: FP8 training, NVFP4 and MXFP4, W4A4 inference, the outlier problem, and where low-bit precision quietly breaks accuracy.
ArticleThe LLM Evaluation Crisis: Contamination, Saturation, and the Judge Problem
TutorialOptimizing CUDA Kernels for Generative Adversarial Networks
Research PaperNeural Symbiosis: The Path to AGI via Recurrent Feedback Loops
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