Once upon a time, in a world of computers, there was a little robot named Robo. Robo was special because he had a brain made up of neurons. Each neuron helped him perform tasks with precision. But one day, Robo faced a loss. No matter how hard he tried, he couldn't seem to reach his objective.

His programmer discovered that there was an outlier in the parameters that controlled Robo's actions. So, they fixed the parameters and Robo was back to performing tasks with precision. However, the programmer realized that there was still room for improvement. They decided to fine-tune Robo's parameters by using prior instances to guide their adjustments.

With each instance, Robo became better at reaching his objectives with even greater precision. And so, Robo lived happily ever after, always learning and improving with each new task that he was given.

The end.

Reflections

1. What was Robo's problem in the beginning?
2. How did Robo's programmer fix his parameters?
3. How did Robo improve his precision with each new instance?
4. What is the importance of fine-tuning parameters in reaching an objective?