FADE IN
Act 1
EXT. ESTATE SWIMMING POOL - 20:00
A few SWIMMERS. PETER enters the pool.
PETER (V.O.): Today is May 4th. It reminds me that this pool opens on May 1st. For the past three days, I swam elsewhere.
PETER swims past a COACH and his young PUPIL.
PETER (V.O.): No one has taught me how to swim.
Swimming breast strokes to one end.
PETER (V.O.) (Cont'd): When young, I played in the water. Then, I observed how others swam.
Turning around, Peter swims to the other end.
PETER (V.O.) (Cont'd): I was curious how others could do it so well.
Swimming freestyle.
PETER (V.O.) (Cont'd): I practise nearly daily, trying to do better.
Act 2
FLASHBACK
INT. STUDY - 11:00 (Earlier today)
Peter is reading some papers on screen.
PETER (V.O.): What's "federated learning" in AI?
We see Peter posting the question to ChatGPT.
PETER (V.O.) (Cont'd): It's a machine learning technique that enables multiple devices to collaboratively train a shared machine learning model without sharing their data with each other.
Pausing.
PETER (V.O.) (Cont'd): I used to think that in machine learning, a large dataset is collected in one location and the model is trained on the data.
Reading.
PETER (V.O.) (Cont'd): In federated learning, the data remains on the individual devices and the model is trained locally on the individual device.
Reading.
PETER (V.O.) (Cont'd): The updated models for each device are then sent to a central server, where they're aggregated to create a new, improved model.
Thinking.
PETER (V.O.) (Cont'd): To allow for privacy and secrecy, this federated learning is really smart!
Pausing.
PETER (V.O.) (Cont'd): I want to know more.
Posing more questions to ChatGPT, Peter studies and analyses them.
PETER (V.O.) (Cont'd): Ah, "Federated Averaging" (FedAvg) is even more interesting.
Pausing.
PETER (V.O.) (Cont'd): It trains a global model by aggregating the local models trained on different devices in a decentralised network.
Thinking.
PETER (V.O.) (Cont'd): Its application includes natural language processing. Hmm, I believe I'm enjoying this benefit.
END FLASHBACK
EXT. ESTATE SWIMMING POOL - CONTINUOUS
PETER (V.O.) (Cont'd): Hours ago, I generated an opportunity to talk about AI with knowledgeable experts.
Smiling.
PETER (V.O.) (Cont'd): While they know federated learning readily, they haven't heard the idea of FedAvg.
Pausing.
PETER (V.O.) (Cont'd): I don't think the FedAvg is cooked up by ChatGPT, as the concept sounds like Federated Learning 2.0 to me.
Pausing.
PETER (V.O.) (Cont'd): I admit that I've no background in any science and I only learn about federated learning and others today.
Peter swims past a female SWIMMER.
PETER (V.O.) (Cont'd): Today, I also read about the story of a famous Hollywood actress in the 1960s. She said the "her" in epic movie was gone.
Pausing.
PETER (V.O.) (Cont'd): In an album link I received today, I can recognize my former colleagues readily, but not myself!
Act 3
EXT. SWIMMING POOL - CONTINUOUS
Peter swims a few butterfly strokes.
PETER (V.O.) (Cont'd): I practise lifelong learning. I seize moments and convert them into opportunities for all to learn more and better.
Taking a rest by the jacuzzi.
PETER (V.O.) (Cont'd): The core of my strength is my capacity to make something value-added out of something.
Swimming a few more butterfly strokes.
PETER (V.O.) (Cont'd): Any turning points can come at the unexpected times and in unexpected ways. May 4th is always a good day!
Peter leaves.
FADE OUT
THE END
Comments