<?xml version="1.0" encoding="UTF-8"?>
<!-- generator="wordpress.com" -->
<urlset xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd"
	xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
	xmlns:news="http://www.google.com/schemas/sitemap-news/0.9"
	xmlns:image="http://www.google.com/schemas/sitemap-image/1.1"
	>
<url><loc>https://umamaheswaran.com/2026/10/10/from-prompting-to-understanding-llms/</loc><news:news><news:publication><news:name>Umamaheswaran</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-10T14:59:24+00:00</news:publication_date><news:title>From Prompting to Understanding LLMs</news:title><news:keywords>Software Development, ChatGPT, technology, Artificial Intelligence, Prompt Engineering, Machine Learning, AI, rag, llm, large language models, LLM, AI, Artificial Intelligence, LLM Inference, Generative AI, Large Language Models, Software Development, Application Development, AI Engineering, Prompt Engineering, Machine Learning, Open-Weight , llm-inference, generative-ai, application-development, ai-engineering, open-weight-models, self-hosted-llms, ai-architecture, inference-engineering, ai-infrastructure, developer-learning</news:keywords></news:news><image:image><image:loc>https://umamaheswaran.com/wp-content/uploads/2026/10/from-api-call-to-llm-response.png?w=150</image:loc></image:image></url></urlset>