Earlier in April, Microsoft released its first AI model under the open-source Phi-3 family: Phi-3 Mini. And now, after almost a month, the Redmond giant has released a small multimodal model called Phi-3 Vision. At the Build 2024, Microsoft also unveiled two more Phi-3 family models including Phi-3 Small (7B) and Phi-3 Medium (14B). All of these models are open-source under the MIT license.
As for the Phi-3 Vision model, it’s trained on 4.2 billion parameters. It means that the model is fairly lightweight. This is the first time a mega-corporation like Microsoft has open-sourced a multimodal model. It has a context length of 128K and you can feed images as well. Google did release the PaliGemma model, but it’s not meant for conversational use.
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Apart from that, Microsoft says that the Phi-3 Vision model was trained on publicly available, high-quality educational and code data. Microsoft has also generated synthetic data for math, reasoning, general knowledge, charts, tables, diagrams, and slides.
Despite its small size, the Phi-3 Vision model performs better than Claude 3 Haiku, LlaVa, and Gemini 1.0 Pro on many multimodal benchmarks. It even comes pretty close to OpenAI’s GPT-4V model. Microsoft says that developers can use the Phi-3 Vision model for OCR, chart and table understanding, general image understanding, and more.
If you want to check out the Phi-3 Vision model, head over to Azure AI Studio (visit).
