<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Dynamic LoRA on Engineering Playbook</title><link>https://learn.tanhdev.com/tags/dynamic-lora/</link><description>Recent content in Dynamic LoRA on Engineering Playbook</description><image><title>Engineering Playbook</title><url>https://learn.tanhdev.com/vesviet.png</url><link>https://learn.tanhdev.com/vesviet.png</link></image><generator>Hugo</generator><language>vi</language><lastBuildDate>Sun, 16 Aug 2026 12:00:00 +0700</lastBuildDate><atom:link href="https://learn.tanhdev.com/tags/dynamic-lora/index.xml" rel="self" type="application/rss+xml"/><item><title>Phần 6: Enterprise Serving &amp; Quantization Với vLLM</title><link>https://learn.tanhdev.com/series/slm-playbook/part-6-vllm-deployment-evals/</link><pubDate>Wed, 20 May 2026 21:05:00 +0700</pubDate><guid>https://learn.tanhdev.com/series/slm-playbook/part-6-vllm-deployment-evals/</guid><description>Triển khai vLLM trên Production: tối ưu Chunked Prefill, PagedAttention, Dynamic LoRA Adapters và benchmark AWQ/GPTQ/GGUF.</description></item></channel></rss>