Curated Transformers – PyTorch LLMs with less code duplication

In plain words

Curated Transformers is a PyTorch library designed to reduce code duplication when working with large language models. It provides pre-built transformer implementations and utilities that streamline the development process for machine learning engineers and researchers building LLM-based applications. The library's main advantage is enabling faster model implementation with less redundant code, making it easier to experiment with and deploy transformer-based architectures.

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