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leestott merged 1 commit into from
Feb 27, 2025
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Update #264

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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -22,8 +22,9 @@ Phi is currently the most powerful and cost-effective small language model (SLM)
You can deploy Phi to the cloud or to edge devices, and you can easily build generative AI applications with limited computing power.

Follow these steps to get started using these resource :
1. **Fork the Repository**: Click on the "Fork" button at the top-right corner of this page.
1. **Fork the Repository**: Click [![GitHub forks](https://img.shields.io/github/forks/microsoft/phicookbook.svg?style=social&label=Fork)](https://GitHub.com/microsoft/phicookbook/network/?WT.mc_id=aiml-137032-kinfeylo)
2. **Clone the Repository**: `git clone https://github.com/microsoft/PhiCookBook.git`
3. [**Join The Microsoft AI Discord Community and meet experts and fellow developers**](https://discord.com/invite/ByRwuEEgH4?WT.mc_id=aiml-137032-kinfeylo)

![cover](./imgs/cover.png)

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2 changes: 1 addition & 1 deletion md/02.Application/07.FunctionCalling/Phi4/FunctionCallingBasic/README.md
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Expand Up @@ -2,7 +2,7 @@

Function calling first appeared in the Phi Family family, and now you can use it through Phi-4-mini.

This example simulates some Premier League results. I hope Phi-4-mini can provide relevant game information in real time. The sample code is as follows
This example demonstrates the simulation of Premier League results. The goal is for Phi-4-mini to deliver real-time game information. Below is the sample code:



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