LLM Visualization : Understanding How It Works
LLM Foundation Models are being widely utilized.
At times like these, understanding how LLMs operate is crucial from the perspective that it increases the freedom to utilize the technology.
Iโd like to introduce a site where you can examine the operational mechanisms of GPT-2 (small), GPT-2 (XL), and GPT-3, including nano-GPT.
Software Engineer Brendan Bycroft has released a demo visualizing and walking through the LLM algorithm behind OpenAIโs ChatGPT.
The demo allows you to examine the algorithm in detail, down to the addition and multiplication within each processing step, and see the entire process in action.
The more complex the model and technology, the more important it is to understand the basics.
The demo page covers the full introduction, prerequisite knowledge, embeddings, layer normalization, self-attention, projection, MLP, transformer, softmax, and output.
(Source) LLM Visualization: 
LLM Visualization
(See also) Transformer Explainer: #transformer #gpt #llm | JAE-HONG E.
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