The previous article was 8,000 words in full, thoroughly explaining the complete underlying principles of large model training, deployment, and inference. Everything is hard at the beginning, so I simply put the hardest underlying principles at the beginning and tackled the hardest part right away. The downside of doing this is that the previous article took a very long time to write. It took 3 to 4 weeks to gather together everything I have learned in my life, and in the middle I scrapped it and rewrote it once. Writing 8,000 words took 10 hours from start to finish. The upside is that after conquering this high peak of LLM principles, the next 20-plus articles are all a long downhill slope, making learning relaxed and pleasant, and making your head itch with curiosity ;) 1. Why is Prompt so important? If you ask me, in the AI era
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