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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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We just launched TutorClaw 🎓🦞 (comment TutorMe to get free access) It's a proactive AI Tutor Agent. You give it your schedule and your school LMS, and it spawns a dedicated tutor for every subject. It understands when you need help. Before a test. When your grades slip. When you've been away too long. It reaches out - you don't have to ask. Not a chatbot. An always-on teacher that never drops the ball. Built on GoEddy.ai, bilingual, gamified, personalized lessons that actually feel alive. #Tut
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Aman ya guyss udah jadi hal biasa didalam pertemanan pasti ada pro kontra😁🤙 #marapthonseason3 #aaaclan
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