the company said that Phi-3 Mini offers the same performance as models trained on more than 10 times the number of parameters Microsoft used, and although it can't match GPT-4 or GPT-4 Turbo ...

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. It is now available on Azure, Hugging Face, and Ollama.

As a first step, the authors used a previously developed bioengineered scaffold 4 that provides a framework ... into an organized pattern, called a mini-colon (Fig. 1). This system closely mirrors ...

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