In the second lesson, we used a single thread to connect the entire AI knowledge framework. In the following dozen or so lessons, we will follow that map. As mentioned in the previous article: From the moment a model leaves the factory, not only is the max tokens attribute fixed, supporting only a 1M context, but the model's knowledge is also locked in. The factory manual will have a line saying "Knowledge cutoff: March 2026." You can try to find this line on the system cards of various models. Why is the model's knowledge locked in from the moment it leaves the factory? Why does knowledge have a clear cutoff date? To answer this seemingly simple question, we need to understand how the model is trained.
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