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This little baby Python was still in its membrane👀 So as these little babies start to develop they will use a little tooth at the top of their nose to break out of the egg🐣 This is a process called pipping and they slowly slice their way out of the egg🥚 This little baby was still in its membrane and still has to absorb all those nutrients in the egg😁 Once it does it will be ready for the real world🙌
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This little baby Python was still in its membrane👀 So as these little babies start to develop they will use a little tooth at the top of their nose to break out of the egg🐣 This is a process called pipping and they slowly slice their way out of the egg🥚 This little baby was still in its membrane and still has to absorb all those nutrients in the egg😁 Once it does it will be ready for the real world🙌
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Si ya sabés programar pero sos un pete con la parte comercial podés usar esta herramienta que desarrollé para saber qué tipo de software ofrecer a más de 120 tipos de negocios y profesionales que podés encontrar en tu ciudad. Se llama Shadow Browser y la podés encontrar en mi perfil. Si querés trabajar como desarrollador freelance pero nunca programaste, ZeroJSX tiene la ruta que te lleva desde cero hasta que podés construir y vender software por tu cuenta. No son cursos sueltos. Son rutas de fo
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Si ya sabés programar pero sos un pete con la parte comercial podés usar esta herramienta que desarrollé para saber qué tipo de software ofrecer a más de 120 tipos de negocios y profesionales que podés encontrar en tu ciudad. Se llama Shadow Browser y la podés encontrar en mi perfil. Si querés trabajar como desarrollador freelance pero nunca programaste, ZeroJSX tiene la ruta que te lleva desde cero hasta que podés construir y vender software por tu cuenta. No son cursos sueltos. Son rutas de fo
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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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