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2:35
YouTube
Sony Pictures Entertainment
SPIDER-MAN: BRAND NEW DAY – New Trailer
The world may have forgotten Peter Parker, but he hasn't forgotten them. Watch the new trailer for #SpiderManBrandNewDay, in theatres July 31. Tickets on sale NOW. July 31, 2026 It's a BRAND NEW DAY for Peter Parker. Fighting crime full-time as Spider-Man in a world that doesn’t remember him—and the pressure of seeing his old friends move ...
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BEST FOOTBALL PLAYER ⚽ #countryhumans
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Learning the Orisa Way using Eerindinlogun This is an excerpt from the documentary Through Her Cowries, featuring Iya Oyeronke from Ogbomoso. Here she demonstrates the practice of Eerindinlogun, a primordial Yoruba Orisa divination system. There is deep knowledge in our tradition. #orisa #yoruba #isese
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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
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Learning the Alphabet with Christina & Wimee 🔤✨#123andres #kidsvideo
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Maharashtra Politics News | 'ये तो सिर्फ ट्रेलर है' म्हणत Shinde यांना Aditya Thackeray यांनी डिवचलं
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These students got people talking because of their perfect understanding of the English language 😂😂 #greenscreen #students #englishvocabulary #funnyvideos😂 #funnycomments
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@Intent is my go-to translation app when I’m traveling! The real time translation feature face-2-face breaks all language barriers and helps me connect with the people around me🥹❤️ Find the link to download intent in my bio🥰 . . #solotraveling #dongbei #shenyang #palmreading #chinatrip
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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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