<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Artificial Intelligence on</title><link>https://dasarpai.github.io/categories/artificial-intelligence/</link><description>Recent content in Artificial Intelligence 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.github.io/categories/artificial-intelligence/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.github.io/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.github.io/dsblog/experimenting-with-vertexai/</guid><description>&lt;p>
&lt;figure>
&lt;img class="my-0 rounded-md" loading="lazy" src="https://dasarpai.github.io/assets/images/dspost/dsp6290-experimenting-with-vertexai.jpg" alt="Experimenting with Vertex AI: A Practical Guide from Account Setup to First Model Call" />
&lt;/figure>
&lt;/p>
&lt;h1 class="relative group">Experimenting with Vertex AI: A Practical Guide from Account Setup to First Model Call
&lt;div id="experimenting-with-vertex-ai-a-practical-guide-from-account-setup-to-first-model-call" class="anchor">&lt;/div>
&lt;span
class="absolute top-0 w-6 transition-opacity opacity-0 ltr:-left-6 rtl:-right-6 not-prose group-hover:opacity-100">
&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700"
style="text-decoration-line: none !important;" href="#experimenting-with-vertex-ai-a-practical-guide-from-account-setup-to-first-model-call" aria-label="Anchor">#&lt;/a>
&lt;/span>
&lt;/h1>
&lt;h2 class="relative group">1. Introduction
&lt;div id="1-introduction" class="anchor">&lt;/div>
&lt;span
class="absolute top-0 w-6 transition-opacity opacity-0 ltr:-left-6 rtl:-right-6 not-prose group-hover:opacity-100">
&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700"
style="text-decoration-line: none !important;" href="#1-introduction" aria-label="Anchor">#&lt;/a>
&lt;/span>
&lt;/h2>
&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><item><title>Cursor Chat: Architecture, Data Flow &amp; Storage</title><link>https://dasarpai.github.io/dsblog/cursor-chat-architecture-data-flow-storage/</link><pubDate>Thu, 29 Jan 2026 00:00:00 +0000</pubDate><author>hari@dasarpai.com (Dr. Hari Thapliyaal)</author><guid>https://dasarpai.github.io/dsblog/cursor-chat-architecture-data-flow-storage/</guid><description>&lt;p>
&lt;figure>
&lt;img class="my-0 rounded-md" loading="lazy" src="https://dasarpai.github.io/assets/images/dspost/dsp6289-cursor-chat-architecture-data-flow-storage.jpg" alt="Cursor Chat: Architecture, Data Flow &amp;amp; Storage" />
&lt;/figure>
&lt;/p>
&lt;h1 class="relative group">Cursor Chat: Architecture, Data Flow &amp;amp; Storage
&lt;div id="cursor-chat-architecture-data-flow--storage" class="anchor">&lt;/div>
&lt;span
class="absolute top-0 w-6 transition-opacity opacity-0 ltr:-left-6 rtl:-right-6 not-prose group-hover:opacity-100">
&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700"
style="text-decoration-line: none !important;" href="#cursor-chat-architecture-data-flow--storage" aria-label="Anchor">#&lt;/a>
&lt;/span>
&lt;/h1>
&lt;p>This document explains how Cursor chat works end-to-end: what happens when you type a message, where data is saved, whether embeddings are used, and how the codebase index fits in.&lt;/p>
&lt;hr>
&lt;h2 class="relative group">1. What Happens When You Type in the Chat Window
&lt;div id="1-what-happens-when-you-type-in-the-chat-window" class="anchor">&lt;/div>
&lt;span
class="absolute top-0 w-6 transition-opacity opacity-0 ltr:-left-6 rtl:-right-6 not-prose group-hover:opacity-100">
&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700"
style="text-decoration-line: none !important;" href="#1-what-happens-when-you-type-in-the-chat-window" aria-label="Anchor">#&lt;/a>
&lt;/span>
&lt;/h2>
&lt;p>When you send a message in Cursor’s chat (Ask, Agent, Composer, Cmd+K, etc.):&lt;/p></description></item><item><title>Safeguarding PII When Using LLMs in Alternative Investment Banking</title><link>https://dasarpai.github.io/dsblog/safeguarding-pii-when-using-llms-alternative-investment-banking/</link><pubDate>Thu, 07 Aug 2025 00:00:00 +0000</pubDate><author>hari@dasarpai.com (Dr. Hari Thapliyaal)</author><guid>https://dasarpai.github.io/dsblog/safeguarding-pii-when-using-llms-alternative-investment-banking/</guid><description>&lt;p>
&lt;figure>
&lt;img class="my-0 rounded-md" loading="lazy" src="https://dasarpai.github.io/assets/images/dspost/dsp6288-Safeguarding-PII-When-Using-LLM.jpg" alt="" />
&lt;/figure>
&lt;/p>
&lt;h1 class="relative group">&lt;strong>Safeguarding PII When Using LLMs in Alternative Investment Banking&lt;/strong>
&lt;div id="safeguarding-pii-when-using-llms-in-alternative-investment-banking" class="anchor">&lt;/div>
&lt;span
class="absolute top-0 w-6 transition-opacity opacity-0 ltr:-left-6 rtl:-right-6 not-prose group-hover:opacity-100">
&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700"
style="text-decoration-line: none !important;" href="#safeguarding-pii-when-using-llms-in-alternative-investment-banking" aria-label="Anchor">#&lt;/a>
&lt;/span>
&lt;/h1>
&lt;h2 class="relative group">1. Introduction
&lt;div id="1-introduction" class="anchor">&lt;/div>
&lt;span
class="absolute top-0 w-6 transition-opacity opacity-0 ltr:-left-6 rtl:-right-6 not-prose group-hover:opacity-100">
&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700"
style="text-decoration-line: none !important;" href="#1-introduction" aria-label="Anchor">#&lt;/a>
&lt;/span>
&lt;/h2>
&lt;p>The financial services industry—particularly &lt;strong>Alternative Investment Banking&lt;/strong> is undergoing a rapid transformation driven by &lt;strong>Generative AI&lt;/strong> and &lt;strong>Large Language Models (LLMs)&lt;/strong>. From parsing complex fund agreements to summarizing investor reports, LLMs promise significant efficiency gains.&lt;/p></description></item><item><title>AI Hallucinations in BFSI - A Comprehensive Guide</title><link>https://dasarpai.github.io/dsblog/ai-hallucination-bfsi-comprehensive-guide/</link><pubDate>Wed, 06 Aug 2025 00:00:00 +0000</pubDate><author>hari@dasarpai.com (Dr. Hari Thapliyaal)</author><guid>https://dasarpai.github.io/dsblog/ai-hallucination-bfsi-comprehensive-guide/</guid><description>&lt;p>
&lt;figure>
&lt;img class="my-0 rounded-md" loading="lazy" src="https://dasarpai.github.io/assets/images/dspost/dsp6287-AI-Hallucination-BFSI-A-Comprehensive-Guide.jpg" alt="" />
&lt;/figure>
&lt;/p>
&lt;h1 class="relative group">AI Hallucinations in the BFSI Domain - A Comprehensive Guide
&lt;div id="ai-hallucinations-in-the-bfsi-domain---a-comprehensive-guide" class="anchor">&lt;/div>
&lt;span
class="absolute top-0 w-6 transition-opacity opacity-0 ltr:-left-6 rtl:-right-6 not-prose group-hover:opacity-100">
&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700"
style="text-decoration-line: none !important;" href="#ai-hallucinations-in-the-bfsi-domain---a-comprehensive-guide" aria-label="Anchor">#&lt;/a>
&lt;/span>
&lt;/h1>
&lt;h2 class="relative group">Introduction
&lt;div id="introduction" class="anchor">&lt;/div>
&lt;span
class="absolute top-0 w-6 transition-opacity opacity-0 ltr:-left-6 rtl:-right-6 not-prose group-hover:opacity-100">
&lt;a class="group-hover:text-primary-300 dark:group-hover:text-neutral-700"
style="text-decoration-line: none !important;" href="#introduction" aria-label="Anchor">#&lt;/a>
&lt;/span>
&lt;/h2>
&lt;p>Artificial Intelligence (AI) is rapidly transforming the Banking, Financial Services, and Insurance (BFSI) sector. From automated underwriting and fraud detection to client servicing through intelligent chatbots, the adoption of large language models (LLMs) and generative AI has opened new frontiers. However, alongside this innovation lies a subtle but significant risk: AI hallucinations — instances where AI models generate plausible-sounding but factually incorrect or entirely fabricated information.&lt;/p></description></item></channel></rss>