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Constrained Decoding: How to Get Guaranteed JSON from an LLM (and the Reasoning Tax)
How constrained decoding guarantees valid JSON from an LLM: runnable vLLM and structured-output examples, the latency cost, and the reasoning tax that JSON-mode hides.
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Curated technical papers and hands-on implementation guides for the modern AI engineer.
DeepSeek DSpark: What Semi-Autoregressive Speculative Decoding Actually Changes
DeepSeek DSpark adds semi-autoregressive drafting and load-aware verification to speculative decoding. What is new versus EAGLE-3, and why the benchmarks are not yet independently verified.
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.
ArticleEffective Context Length: Why 1M-Token Windows Fall Short, and When RAG Still Wins
ArticleSpeculative Decoding in vLLM: A Practical Guide to Faster LLM Inference
ArticleQuantization Deep Dive: FP8 Training, FP4, and the Outlier Problem
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