How Billions of Examples Create a Helpful AI

STEP 1: GATHER THE EXAMPLES (THE DATASET)

To learn a task, the AI needs billions of examples. For a shopping AI, this could be millions of past purchases, product reviews, and search queries.

 

STEP 2: PRACTICE MAKES PERFECT (TRAINING)

The AI analyzes every example, trillions of times, adjusting its internal «settings» to get better at spotting the patterns that lead to the right answer.

 

STEP 3: LEARN FROM MISTAKES (FEEDBACK)

When the AI is wrong, it gets corrected. This «feedback» is the most important part of learning, helping it understand nuance and avoid errors.