AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes B LOCK D ECODER, a novel decoder architecture comprising two distinct components: a text encoder that is purely text-based, and a M ERGER that combines information from the audio encoder and text encoder to generate output tokens.
The study of tokenization robustness serves as a diagnostic of how tightly a model is coupled to its tokenizer, and demonstrates that tokenization robustness is not a universal property of language models, but depends strongly on the language and its interaction with the tokenizer.
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