Phi-3 Technical Report!

Read a technical paper on a language model named phi-3-mini. This model, with 3.8 billion parameters, is trained on a massive dataset and performs on par with larger models. It’s designed for robustness and safety in chat applications and can be deployed on mobile devices.

The paper also introduces phi-3-small and phi-3-medium, with 7B and 14B parameters, respectively, which show even better performance. These advancements highlight the efficiency of smaller models when trained with optimized data, marking a significant step in AI language model development.

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