News Summary

• Phi-3 Mini measures 3
• 8 billion parameters and is trained on a data set that is smaller relative to large language models like GPT-4
• Compared to their larger counterparts, small AI models are often cheaper to run and perform better on personal devices like phones and laptops
• It is the first of three small models the company plans to release