<?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</title><link>https://dasarpai.com/categories/llm/</link><description>Recent content in LLM on</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>hari@dasarpai.com (Dr. Hari Thapliyaal)</managingEditor><webMaster>hari@dasarpai.com (Dr. Hari Thapliyaal)</webMaster><copyright>© 2026 Dr. Hari Thapliyaal</copyright><lastBuildDate>Thu, 16 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://dasarpai.com/categories/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>Experimenting with Vertex AI: A Practical Guide from Account Setup to First Model Call</title><link>https://dasarpai.com/dsblog/experimenting-with-vertexai/</link><pubDate>Thu, 16 Apr 2026 00:00:00 +0000</pubDate><author>hari@dasarpai.com (Dr. Hari Thapliyaal)</author><guid>https://dasarpai.com/dsblog/experimenting-with-vertexai/</guid><description>&lt;p>
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&lt;h1 class="relative group">Experimenting with Vertex AI: A Practical Guide from Account Setup to First Model Call
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&lt;h2 class="relative group">1. Introduction
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&lt;p>Vertex AI is Google Cloud’s unified AI and machine learning platform. It supports experimentation with Gemini models, open models, partner models, embeddings, image generation, video generation, speech models, custom ML models, and enterprise AI workflows.&lt;/p></description></item></channel></rss>