AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Recent work on hallucination detection in large language models has shown that, for a fixed pre-trained model and reasoning task, it is possible to estimate the model's confidence in the correctness of its outputs. Such uncertainty estimates have primarily been used to improve truthfulness by detecting or filtering con...
It is proved that in-context learning extends further to data generation: frozen transformers can simulate iterative generative samplers from in-context samples, and it is proved that transformers can approximate an energy-based sampler.
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