17:14, 10 марта 2026Мир
The target encoder’s weights aren’t trained by gradient descent. Instead, they’re an exponential moving average (EMA) of the context encoder’s weights. After each training step, the target encoder’s weights get nudged slightly toward the context encoder’s:
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The current algorithms and data of this project are very amenable to being understood through APL. I would like to experiment in more novel techniques that require more thought to properly express in APL. A good example would be modifying Apter trees[6] to work with quadtrees to implement stuff like this.