Decoder-Only Transformers, ChatGPTs specific Transformer, Clearly Explained!!!

Transformers are taking over AI right now, and quite possibly their most famous use is in ChatGPT. ChatGPT uses a specific type of Transformer called a Decoder-Only Transformer, and this StatQuest shows you how they work, one step at a time. And at the end (at 32:14), we talk about the differences between a Normal Transformer and a Decoder-Only Transformer. BAM!

NOTE: If you're interested in learning more about Backpropagation, check out these 'Quests:
The Chain Rule:    • The Chain Rule, Clearly Explained!!!  
Gradient Descent:    • Gradient Descent, Step-by-Step  
Backpropagation Main Ideas:    • Neural Networks Pt. 2: Backpropagation Mai...  
Backpropagation Details Part 1:    • Backpropagation Details Pt. 1: Optimizing ...  
Backpropagation Details Part 2:    • Backpropagation Details Pt. 2: Going bonke...  

If you're interested in learning more about the SoftMax function, check out:
   • Neural Networks Part 5: ArgMax and SoftMax  

If you're interested in learning more about Word Embedding, check out:    • Word Embedding and Word2Vec, Clearly Expla...  

If you'd like to learn more about calculating similarities in the context of neural networks and the Dot Product, check out:
Cosine Similarity:    • Cosine Similarity, Clearly Explained!!!  
Attention:    • Attention for Neural Networks, Clearly Exp...  

If you'd like to learn more about Normal Transformers, see:    • Transformer Neural Networks, ChatGPT's fou...  

For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/

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0:00 Awesome song and introduction
1:34 Word Embedding
7:26 Position Encoding
10:10 Masked Self-Attention, an Autoregressive method
22:35 Residual Connections
23:00 Generating the next word in the prompt
26:23 Review of encoding and generating the prompt
27:20 Generating the output, Part 1
28:46 Masked Self-Attention while generating the output
30:40 Generating the output, Part 2
32:14 Normal Transformers vs Decoder-Only Transformers

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