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Andrej Karpathy's explaination of Bigram Language Model explained Bigram LMs, though simple, it provides powerful insight into the inner mechanics of how tokens are processed in language models. This is a pre-amble for what's next: GPT, which is the 2nd part of the series The Bigram model here incorporates: Tokenization, Vocabulary, Negative Loss Function, Cross Entropy, Logits, SoftMax, Optimizer, and AdamW These are essential ingredients to understand in order to build our knowledge on how LLM
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Why tutorials trick you into thinking you're learning. When you watch, your brain is in consumption mode. Someone else picks the names, handles errors, debugs the breaks. You follow along but never build the skill of figuring it out yourself. And for AI, you don't need all of Python first. Learn a small slice and start shipping. #techwithtim #python #ai #programming
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