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Looking at what machine learning is, what neural networks are, what GPT is and then how that all plays into ChatGPT!
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▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
0:00 - Introduction
4:29 - History and training
8:55 - Machine learning
12:47 - Prediction
14:32 - More complex predictions
17:30 - Making any shape with enough curves combined
24:30 - How to get different curves from one curve
28:23 - Weights and bias
33:33 - Activation functions
40:02 - Back propagation and gradient descent
50:48 - Visualization of layers working together
53:30 - What is GPT
57:39 - Attention
1:00:00 - Tokens
1:02:33 - GPT-2
1:07:22 - GPT-3
1:09:10 - zero, one and few shot
1:10:19 - What was it trained on
1:13:45 - ChatGPT
1:18:40 - Closing thoughts
▬▬▬▬▬▬ K E Y L I N K S 🔗 ▬▬▬▬▬▬
► Whiteboard:
🔗 github.com/johnthebrit/Random...
► ChatGPT site at OpenAI:
🔗 chat.openai.com/chat
► Great example video of number recognition:
🔗 • Visualization of a ful...
► OpenAI tokenizer:
🔗 platform.openai.com/tokenizer
► GPT 2 paper:
🔗 cdn.openai.com/better-languag...
► GPT-3 paper:
🔗 arxiv.org/pdf/2005.14165.pdf
► ChatGPT overview:
🔗 openai.com/blog/chatgpt
▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
📖 Recommended Learning Path for Azure
🔗 learn.onboardtoazure.com
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❔ Questions? Maybe I answered it in my FAQ
🔗 savilltech.com/faq.html
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👂 I have manually updated the captions to be as accurate as possible. Enable the subtitles and from there you can translate to your native language via the auto-translate feature in settings! • KZfaq Captions and A... for a demo of using this feature.
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