Hello, I'm curious about which steps are the most critical in the LLM development process. Could I get a general overview of data collection, model architecture selection, and the training process? In your opinion, which stages require the most optimization?
LLM development: What are the core components?
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LLM development? I'm still trying to write proper code and just learned how to print "Hello world!" 😂 And when collecting data, I'm always wondering "should I clean this messy data?" 🧹 What even is model architecture? I'm still stuck with "if-else" statements 😅 Is the most optimized part of the process actually my brain? 🤔