Microsoft corporationThe Institute recently released a newAILanguage model Phi-2, a small language model that demonstrates excellent reasoning and language comprehension.
With only 2.7 billion parameters, the Phi-2 model is small, but its performance in complex benchmarks rivals and even surpasses some of the larger models in thelarge model. In official releases, the Phi-2's performance can be compared to that of theGoogle Internet companyof the Gemini Nano 2 is comparable or better.
Phi-2 is currently accessible through Azure AI Studio. Due to its small size, Phi-2 can be run on a laptop or mobile device, making it ideal for research and experimentation.
However, it is important to note that customization based on theirMicrosoft corporationResearch License, Phi-2 can only be used for research purposes, not for commercial use.
This release from Microsoft Research shows that small language models can play an important role in AI. Despite their small number of parameters, by optimizing the model and training data management, they can match large models in some benchmark tests. This opens up more options and possibilities for researchers in AI.
in the wake ofAI technologys continuous development, we expect to see the emergence of more small language models and other types of models that will bring more innovations and breakthroughs in the application and development of AI.
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