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Coding Train Live: Coding Train Late Night 2: Fetch, GPT-2 and RunwayML

24.6K views
•
May 27, 2020
by
The Coding Train
YouTube video player
Coding Train Live: Coding Train Late Night 2: Fetch, GPT-2 and RunwayML

TL;DR

Dan Schiffman entertains late-night viewers with dad jokes and discusses his plan to generate jokes using an AI model.

Transcript

[Applause] oh hello and good evening welcome to another late night edition of the coding train with me internet weirdo dan Schiffman now I had earlier today Oh plan and thought about what I was gonna say at the very moment I'd switch the camera over myself and I completely forgot what it was right now you know I actually have enough room here on th... Read More

Key Insights

  • 🫵 Dan plans to have an AI model generate scripts for the Coding Train show, which will provide new and interesting coding projects for viewers.
  • 🃏 He obtains a dataset of dad jokes from the I Can Has dad joke API to train his machine learning model for generating new jokes.
  • 🦜 Dan discusses his daily activities, including learning with his kids and exploring his neighborhood to observe Monk parrots.

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Questions & Answers

Q: What is Dan Schiffman's plan for generating scripts for the Coding Train show?

Dan plans to have an AI model generate scripts for the show, which will provide interesting and fun coding projects for viewers.

Q: How does Dan obtain the dataset for training his machine learning model?

Dan obtains the dad jokes dataset from the I Can Has dad joke API, which provides random dad jokes that can be used for generating new jokes.

Q: What other activities does Dan discuss during the late-night show?

Dan talks about his daily activities, such as learning new things with his kids, reading a book of random numbers, and exploring his neighborhood to observe Monk parrots.

Q: What is the purpose of Dan's machine learning model for generating jokes?

The purpose is to train the model using a dataset of dad jokes and then generate new jokes based on the patterns and humor learned from the dataset.

Summary & Key Takeaways

  • Dan Schiffman introduces the late-night edition of the Coding Train and shares his plan to have an AI model generate scripts for the show.

  • He reads jokes from a book of random numbers and discusses his daily activities, including learning with his kids and working on coding projects at night.

  • Dan talks about his project to train a machine learning model using a dataset of dad jokes obtained from an API, with the goal of generating new jokes.


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