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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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Kanembu Language from Chad 🇹🇩 . Numbering at around 1.8 million people, the Kanembu people primarily reside in Chad 🇹🇩 Most of the Kanembu people live in the desert regions of Chad. The language itself is closely similar to Kanuri which is spoken in North Eastern Nigeria 🇳🇬 #chad #arabic #french #japan #turkiye