Debabrata Pruseth

Technocrat | Traveler | Story Teller

Agentic AI – LLM with RAG – Beginner Bootcamp

AI, AI Engineering /
AI Agent_LLM with RAG

In this post, you’ll learn how to build your own document-reading AI assistant — an intelligent tool that can read and understand documents like PDFs, Word files, Excel sheets, HTML pages, JSON files, and more using OpenAI’s powerful language models combined with a cutting-edge technique called RAG (Retrieval-Augmented Generation).

No prior coding experience required. Just download the code, run it, enhance it, and start learning!

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Agentic AI – LLM with Web Scraping – Beginner Bootcamp

AI, AI Engineering /

In this beginner-friendly bootcamp, learn how to create a smart web agent that scrapes websites, processes content with GPT-4, and answers user questions intelligently. You’ll start with basic LLM-based querying and then upgrade to a scalable Retrieval-Augmented Generation (RAG) system using vector databases like FAISS. Perfect for Python and AI learners!

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Agentic AI – LLM with API Calls – Beginner Bootcamp

AI, AI Engineering /

🧠 Build Your First Agentic AI!
Curious how ChatGPT can actually call functions and fetch live data?

In our latest Beginner Bootcamp, learn how to create a smart Weather Agent using OpenAI’s GPT-4 and WeatherAPI — no advanced coding required!

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Agentic AI for Beginners – Learn by Building Your First App

AI, AI Engineering /

🚀 Build Your First Agentic AI App (With Code Example!)

In this beginner-friendly bootcamp, you’ll learn how to build a multi-agent AI application from scratch. We’ll walk you through the core architecture of agentic systems and show you how to bring it to life with a real-world project — an AI-powered Workshop Planner and Meeting Assistant.

You’ll get:

✅ Step-by-step tutorial

💡 Ready-to-run Python code

🔧 Hands-on experience with LangChain and LangGraph

Just download the notebook, run it in your Python environment (like Google Colab), and start building. Tweak it, expand it, and you’re on your way to creating your own AI agents!

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End-to-End Data Quality Management Framework (DQMF) in Banking with GenAI Integration

AI, GenAI /
DQMF and GenAI

Data quality is mission-critical in banking, as poor data can erode trust and even impact revenue (businesses reported an average 31% revenue loss due to bad data in 2023). Banks handle diverse data (customer info, transactions, risk metrics, etc.), and regulators demand ( BCBS239, GDPR etc) that this data be accurate, complete, timely, and well-governed.
Generative AI (GenAI) offers new ways to automate and enhance data quality management across these phases. Modern AI can summarize and generate documents, extract and classify information, and even assist in detecting data issues, thereby accelerating data governance and compliance tasks. Below, we break down the key DQMF phases – from data creation, storage, processing, usage, to archival and deletion – highlighting critical activities and how GenAI can realistically improve or streamline outcomes in each. We then present a structured table summarizing GenAI applications for each phase, implementation steps, and example prompt templates.

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Beyond the Laughs: Understanding Bias in AI-Generated Humor

Applied Psychology /

Take a revealing journey into the burgeoning field of artificial intelligence and its foray into humor. This crucial exploration uncovers the often-surprising ways hidden biases surface through AI’s attempts at laughter. Learn why proactively guiding AI creativity is paramount to generating truly uplifting and inclusive content for all. We provide practical and powerful techniques to steer AI humor generation towards positive storytelling, effectively navigating its whimsical yet inherently imperfect understanding of what’s truly funny.

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Alan Turing: Love, Math, and the Dream of Thinking Machines

Applied Psychology /

Alan Turing’s audacious journey fused heartache, genius, and an unbreakable love for mathematical beauty. Discover how his revolutionary vision of thinking machines defied societal norms, shattered prejudices, and ignited the unstoppable evolution of artificial intelligence. Turing’s legacy proves that true brilliance transcends cruelty, rewriting the future with courage and clarity.

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Exposing AI’s Fragile Underbelly: Daring Red Team Tactics

AI, GenAI /

In a world racing toward AI dominance, uncovering its hidden flaws is no longer optional—it’s survival. Red teaming exposes the fragile underbelly of large language models, revealing vulnerabilities masked beneath a polished facade. Using daring, alchemic tactics, security warriors can unmask risks, disrupt potential chaos, and fortify systems against catastrophic failures. From clever prompt injections to mind-bending fictional scenarios, today’s red teamers wield fearless precision to outsmart evolving threats. Master the art of probing AI’s dark corners before adversaries strike. Stay vigilant, stay relentless—because in this high-stakes battlefield, hesitation spells disaster.

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Mastering AI Security: DeepMind vs OpenAI’s Bold Playbook

AI, GenAI /

Discover the bold and visionary strategies that DeepMind and OpenAI are pioneering to secure the future of artificial intelligence. This compelling guide dives into how these tech giants tackle emerging threats, from cyberattacks to runaway AI capabilities. Learn how to master AI security frameworks, implement proactive defenses, and safeguard innovation within your organization. Whether you’re a tech leader, cybersecurity enthusiast, or a curious student, this essential blueprint offers practical insights and transformative tactics. Don’t just react—unleash your potential to shape a resilient AI future. Start building smarter, safer AI systems today with insights drawn from the frontier of technology.

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AI Governance Framework: A Simple Guide for Organizations

AI, GenAI /

AI is revolutionizing industries, but without proper governance, it poses risks like bias, security threats, and regulatory non-compliance. This guide provides a five step framework to help organizations implement responsible AI governance, ensuring transparency, fairness, and legal compliance. Learn how to assess AI risks, align with global regulations, establish governance policies, and continuously monitor AI systems. By adopting a structured AI governance model, businesses can harness AI’s benefits while mitigating risks, fostering trust, and staying compliant with evolving laws. Ensure your AI is ethical, secure, and accountable with this essential framework.

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