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You don鈥檛 need a $10,000 degree to master AI and Large Language Models.#llm #coding #programming #cs
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Nobody ever wrote the code that lets ChatGPT write Python. Not one line of it. 馃く Here's how a large language model actually gets built, step by step: 1锔忊儯 Data. Trillions of words of books, web pages, code and forums, then cleaned: duplicates removed, spam filtered, broken text stripped. One open dataset, FineWeb, is 15 trillion tokens of web text. 2锔忊儯 Tokens. The model never sees words.
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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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