#pytorch
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Building a Text-JEPA Model from Scratch
Text-JEPA moves away from auto-regressive token prediction by learning world model representations in latent space, offering a potential path toward more efficient, non-generative intelligence.
Level Up Coding
Building Memory-Efficient Transformers with xFormers
xFormers provides specialized kernels that avoid materializing large attention matrices, enabling linear memory scaling and efficient handling of variable-length sequences, GQA, and custom positional biases.
MarkTechPost
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