I walk through how a transformer-based Large Language Model (LLM) generates text. From tokenization to embeddings, self-attention, logits, softmax, sampling, the autoregressive loop, and detokenization, I break down each step visually so you can see how it all fits together
In this video CJ explains chat bots, neural networks, tokenization, embeddings, transformers and more. He shows real working code for everything and gives historical context along the way. View the code here
Terafab is Elon Musk’s proposed attempt to build a semiconductor manufacturing system on a scale intended to serve Tesla, SpaceX and xAI. It is not simply another Tesla factory. The project aims to combine chip design, advanced logic fabrication, memory production, photomasks, packaging and testing within a vertically integrated operation capable of supporting autonomous vehicles, humanoid robots, large AI models and, eventually, computing infrastructure in space
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