Home Blog Microsoft Phi-4 Open-Source Small Language Model Introduced; Claimed to Outperform Gemini 1.5...

Microsoft Phi-4 Open-Source Small Language Model Introduced; Claimed to Outperform Gemini 1.5 Pro

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Microsoft on Friday launched its Phi-4 synthetic intelligence (AI) mannequin. The firm’s newest small language mannequin (SLM) joins its open-source Phi household of foundational fashions. The AI mannequin comes eight months after the discharge of Phi-3 and 4 months after the introduction of the Phi-3.5 sequence of AI fashions. The tech big claims that the SLM is extra able to fixing complicated reasoning-based queries in areas resembling arithmetic. Additionally, it’s also stated to excel in typical language processing.

Microsoft’s Phi-4 AI Model to Be Available through Hugging Face

So far, each Phi sequence has been launched with a mini variant, nonetheless, no mini mannequin accompanied the Phi-4 mannequin. Microsoft, in a blog post, highlighted that Phi-4 is at present out there on Azure AI Foundry beneath a Microsoft Research Licence Agreement (MSRLA). The firm plans to make it out there on Hugging Face subsequent week as nicely.

The firm additionally shared benchmark scores from its inside testing. Based on these, the brand new AI mannequin considerably upgrades the capabilities of the older era mannequin. The tech big claimed that Phi-4 outperforms Gemini Pro 1.5, a a lot bigger mannequin, on the mathematics competitors issues benchmark. It additionally launched an in depth benchmark efficiency in a technical paper published within the on-line journal arXiv.

On security, Microsoft acknowledged that the Azure AI Foundry comes with a set of capabilities to assist organisations measure, mitigate, and handle AI dangers throughout the event lifecycle for conventional machine studying and generative AI functions. Additionally, enterprise customers can use Azure AI Content Safety options resembling immediate shields, groundedness detection and others as a content material filter.

Developers may add these security capabilities into their functions through a single software programming interface (API). The platform can monitor functions for high quality and security, adversarial immediate assaults, and knowledge integrity and supply builders with real-time alerts. This will likely be out there to these Phi customers who entry it through Azure.

Notably, smaller language fashions are sometimes being educated after deployment on artificial knowledge, permitting them to rapidly achieve extra data and better effectivity. However, post-training outcomes usually are not all the time constant in real-world use circumstances.



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