https://techcommunity.microsoft.com/blog/aiplatformblog/introducing-phi-4-microsoft%E2%80%99s-newest-small-language-model-specializing-in-comple/4357090

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AI - AI Platform Blog
2 MIN READ

Introducing Phi-4: Microsoft's Newest Small Language Model
Specializing in Complex Reasoning

ecekamar's avatar
ecekamar
Icon for Microsoft rankMicrosoft
Dec 13, 2024

Learn about Phi-4, the latest small language model in Phi family,
that offers high quality results at a small size (14B parameters).

Today we are introducing Phi-4, our 14B parameter state-of-the-art
small language model (SLM) that excels at complex reasoning in areas
such as math, in addition to conventional language processing. Phi-4
is the latest member of our Phi family of small language models and
demonstrates what's possible as we continue to probe the boundaries
of SLMs. Phi-4 is currently available on Azure AI Foundry under a
Microsoft Research License Agreement (MSRLA) and will be available on
Hugging Face next week.  

Phi-4 Benchmarks 

Phi-4 outperforms comparable and larger models on math related
reasoning due to advancements throughout the processes, including the
use of high-quality synthetic datasets, curation of high-quality
organic data, and post-training innovations. Phi-4 continues to push
the frontier of size vs quality.  

[bS00MzU3MD]

Phi-4 is particularly good at math problems, for example here are the
benchmarks for Phi-4 on math competition problems: 

Phi-4 performance on math competition problems 

[bS00MzU3MD]Phi-4 outperforms much larger models, including Gemini
Pro 1.5, on math competition problems (https://maa.org/
student-programs/amc/)

To see more benchmarks read the newest technical paper released on
arxiv.

Enabling AI innovation safely and responsibly 

Building AI solutions responsibly is at the core of AI development at
Microsoft. We have made our robust responsible AI capabilities
available to customers building with Phi models, including
Phi-3.5-mini optimized for Windows Copilot+ PCs. 

Azure AI Foundry provides users with a robust set of capabilities to
help organizations measure, mitigate, and manage AI risks across the
AI development lifecycle for traditional machine learning and
generative AI applications. Azure AI evaluations in AI Foundry enable
developers to iteratively assess the quality and safety of models and
applications using built-in and custom metrics to inform
mitigations.  

Additionally, Phi users can use Azure AI Content Safety features such
as prompt shields, protected material detection, and groundedness
detection. These capabilities can be leveraged as content filters
with any language model included in our model catalog and developers
can integrate these capabilities into their application easily
through a single API. Once in production, developers can monitor
their application for quality and safety, adversarial prompt attacks,
and data integrity, making timely interventions with the help of
real-time alerts. 

Phi-4 in action 

One example of the mathematical reasoning Phi-4 is capable of is
demonstrated in this problem.  

[bS00MzU3MD]

Start Exploring 

Phi-4 is currently available on Azure AI Foundry, take a look today. 

Updated Dec 13, 2024
Version 1.0
azure ai foundry
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ecekamar's avatar
ecekamar
Icon for Microsoft rankMicrosoft
Joined December 12, 2024
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