Phi-2 is a Transformer model with 2.7 billion parameters designed for natural language processing tasks. It builds upon the success of its predecessor, Phi-1.5, by incorporating additional data sources and training methodologies. Specifically, Phi-2 was trained on a combination of existing data sources used for Phi-1.5 along with a new dataset comprising synthetic NLP texts and curated website content. This augmentation aims to enhance the model's understanding and performance across various linguistic domains. With its increased parameter count and diverse training data, Phi-2 offers improved capabilities in tasks such as language understanding, generation, and comprehension.
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