AI Explore Workshop

An interactive ML boot camp designed to introduce high-school girls and non-binary youth to the fundamentals of Artificial Intelligence.

1. Supervised Learning: Learning from Examples

The AI is given labeled data—like a teacher providing examples with answers—and it learns to make predictions about new, unseen data.

Level 1: A Clear Signal

The rule is simple and applies to all fish.

Observe the labeled fish. Can you spot the pattern that determines if a fish is poisonous?

Poisonous

Safe

The AI is given unlabeled data and must find patterns and structures on its own, like sorting a messy room into organized groups.

Interactive Demo: AI Clustering

The AI has no labels. Instruct it on how to group the fish.

unsorted

The AI (or "agent") learns by performing actions and receiving rewards or penalties, much like teaching a pet new tricks.

Game: The Survival Agent

Your goal is to maximize your score by learning a "policy" (a rule for what to do).

Agent: You

Goal: Reach 50 points

Policy: Your learned strategy

SCORE

An unknown fish appears!

The same principles you've just explored power the incredible technologies we use today. Let's peek under the hood.

Large Language Models (LLMs)

This demo simulates how an LLM generates a response by searching a knowledge base, paying "attention" to context, and predicting the next word.

user > What is Dr. Tripathi's research about?

Dr. Pia Tripathi's research focuses on human-aligned AI agents.

Her work bridges cognitive science and machine learning.

A key project is an RL-powered diabetes coach called Dietra.

Dietra uses RLHF for personalized health motivation.

She also founded the 'AI Explore' workshop for youth in tech.

AI Agents

An AI Agent goes beyond text generation. It's a system that can understand a goal, make a plan, and use "tools" to accomplish it.

Download the complete slide deck from the AI Explore workshop to review the concepts and share what you've learned.