When you design with the adoption stack in mind from day one, you stop building one-off demos and start building systems that can ship, renew and scale.
The construction of a large language model (LLM) depends on many things: banks of GPUs, vast reams of training data, massive amounts of power, and matrix manipulation libraries like Numpy. For ...
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