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RAG & Deploy Realm

Age 21 · AI apps, RAG, deployment & MLOps · 13 chapters

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Pre-final/final-year Campus track — ship real apps.

Chapter 1 of 13 13 min

Building with LLMs

Story

Aanya and Vihaan reach a new challenge: "Building with LLMs". Think about resume parser.

Pixel beeps: "Don't just read about it — let's learn by DOING. Try the demo below! "

The idea

LLMs as a component. Modern AI apps call an LLM via an API for tasks like summarising, extracting and answering. You design the app; the LLM is one smart component.

Structured output. Ask the LLM to return JSON so your code can use the result reliably — a key trick for real apps.

Indian-life example — Resume parser

Send a resume to an LLM and ask for JSON with name, skills and experience your app can store.

Interactive demo — do it yourself
Pixel · Step 1 of 1

Type a question for Pixel, or tap a suggestion. See how your words shape the answer!

Practice — your turn

In apps, an LLM is…

Recap
  • LLMs as a component
  • Structured output
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Finish the demo and practice above to continue.