AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Long-context reasoning requires accurately identifying relevant information in extensive, noisy input contexts. In this work, we propose PERK (Parameter Efficient Reasoning over Knowledge), a scalable approach for learning to encode long contexts using gradient updates at test time. Specifically, PERK employs two neste...
This work investigates memorization in transformer-based language models by analyzing their memorization dynamics during training over multiple epochs and finds that memorization is neither a constant accumulation of sequences nor simply dictated by the recency of exposure to these sequences.
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