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Found 2 papers, 2 papers with code
Efficient Guided Generation for Large Language Models
In this article we show how the problem of neural text generation can be constructively reformulated in terms of transitions between the states of a finite-state machine.
HuggingFace's Transformers: State-of-the-art Natural Language Processing
Transformer architectures have facilitated building higher-capacity models and pretraining has made it possible to effectively utilize this capacity for a wide variety of tasks.
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