<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm on Portfolio</title><link>https://tatchapero.github.io/Portfolio/tags/llm/</link><description>Recent content in Llm on Portfolio</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>t.atchapero@gmail.com (Thomas Atchapero)</managingEditor><webMaster>t.atchapero@gmail.com (Thomas Atchapero)</webMaster><copyright>© 2026 Thomas Atchapero</copyright><lastBuildDate>Fri, 24 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tatchapero.github.io/Portfolio/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>LLM-API</title><link>https://tatchapero.github.io/Portfolio/projects/llm-api/</link><pubDate>Fri, 24 Apr 2026 00:00:00 +0000</pubDate><author>t.atchapero@gmail.com (Thomas Atchapero)</author><guid>https://tatchapero.github.io/Portfolio/projects/llm-api/</guid><description>In this article, I will show how to create an AI-driven application. The goal is to create an application, that can integrate with an LLM-API. We want to make an application that can take an internship report as input, and in return receive an assessment of the report as output.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://tatchapero.github.io/Portfolio/projects/llm-api/cover.png"/></item></channel></rss>