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Microsoft Introduces Phi-4 – Here’s What to Know and How to Use Phi-4 for AI Automation
March 3, 2025
3
min read

Microsoft Introduces Phi-4 – Here’s What to Know and How to Use Phi-4 for AI Automation

George Miloradovich
Researcher, Copywriter & Usecase Interviewer
Table of contents

Microsoft has introduced two new open-source AI models within its Phi family: Phi-4-multimodal and Phi-4-mini. These models represent the latest advancements in Microsoft's line of small language models (SLMs), designed specifically to deliver powerful AI capabilities while remaining efficient enough for deployment on devices with limited computational resources.

Both models are now publicly available through platforms such as Azure AI Foundry, HuggingFace, and the NVIDIA API Catalog, enabling developers and businesses worldwide to leverage cutting-edge AI technology in their applications. We’re sharing why these models draw attention and how to use them for AI automation on Latenode.

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Key Advantages of Phi-4 Models

Phi-4 Multimodal

Phi-4-multimodal is a 5.6-billion-parameter model capable of processing and integrating multiple input modalities, including speech, images, and text. This unified architecture allows for more natural and context-aware interactions, enhancing your experience in applications such as online AI assistants, data analysis, and communication.

In many multimodal benchmarks, the model outperforms GPT-4o, Gemini-2.0 Flash, and 1.5 Pro. This is the first open model of its level in speech recognition and OCR.

Phi-4-Mini

Phi-4-mini is a compact 3.8-billion-parameter model optimized specifically for text-based tasks. Despite its smaller size, Phi-4-mini supports sequences up to 128,000 tokens of context, staying on par with o1-mini and R1 distillations. This makes it suitable for resource-constrained environments requiring high accuracy and scalability.

Both models have undergone supervised fine-tuning to make sure the models adhere to your prompts and follow robust safety measures. Phi-4-multimodal has a sparse attention mechanism to handle long sequences, while Phi-4-mini shows advanced synthetic datasets and content filtering techniques.

Integrating Phi-4 Models into Latenode Workflows

Currently, Phi-4 models can be integrated into Latenode workflows exclusively via API integration. Once you connect to API, you can easily integrate Phi-4-multimodal and Phi-4-mini to automate and enhance various tasks, leveraging their advanced AI capabilities directly within existing workflows.

Here are four simple yet powerful integration scenarios using Phi-4 models in Latenode:

By integrating Phi-4 models via API, Latenode users can significantly streamline their workflows, automate complex tasks, and unlock new possibilities for innovation and productivity.

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