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Extracting summaries from videos - AI promptingAdd friend
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1 Champ text won in the AI Prompting collaborative notes Topic
1 Champ text won in the Open-sourced Morality Training Environments Topic
2 Champ texts won in the How Addiction Works! Topic
1 Champ text won in the Transformers - Attention based networks Topic
1 Champ text won in the The Housing Market Topic
2 Champ texts won in the Your average person's debt Topic
1 Champ text won in the How Light Effects Mood, Sleep, and Eating Habits. Topic
1 Champ text won in the Extracting summaries from videos - AI prompting Topic
1 Champ text won in the Recurrent Neural Networks (RNN) Topic
Hi! I'm Frank - You want data visualizations? I am your guy. Tell stories through data all day every day. Got cool graphs? send em my way.
I'm constantly seeking to expand my understanding of the world around me - So if you have anything interesting to point me towards, send a message!
Getting a summary from a video can be extremely useful - Here we are creating the best AI prompts to do this.
Generally we want an organized list of the most valuable insights contained within the video.
How to get a transcript from You tube
Selec...
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For most people, debt is a fact of life. Used responsibly, debt can be a useful financial tool that allows us to afford big purchases like cars, homes, and education. Loans and credit provide access to money we don't currently have, but allow us to p...
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We evolved to work within a daily cycle. Wake up with the sun, go to sleep at night.
But now we are all out of wack.
First, we are not signalling to our eyes that we are about to go to sleep. People mess with this by keeping lights on, staring at a p...
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RNNs are what everyone used for time series data until the transformer and attention models were invented. They are useful to learn, but generally most modern deep learning models use some form of attention not the RNN architecture.
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