AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Basic mathematical tasks like modular addition have been a valuable tool for illuminating aspects of neural network behavior that are challenging to see in noisy, unverifiable, large-scale, real-world settings. These studies have typically focused on a single task. However, modern language models are exposed to a vast...
PermuFormer, an autoregressive transformer trained on a 2.8 billion token multi-task, multi-encoding corpus, is introduced and shows that PermuFormer is an effective starting point for fine-tuning on basic tasks unseen during pretraining and more complex research-level tasks, frequently outperforming the same architect...
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