The fresh Microsoft Phi-4 AI models include high performance in miniature packaging

Microsoft He introduced a fresh class of highly proficient AI models that process the text, images and speech at the same time, requiring much less computing power than existing systems. Recent Phi-4 modelsPublished today, they represent a breakthrough in the development of miniature language models (SLM), which provide possibilities previously reserved for much larger AI systems.

Phi-4-Multimodalmodel with only 5.6 billion parameters and PH-4-MiniWith 3.8 billion parameters, they exceed competitors of similar size, and even match or exceed the performance of models twice their size in some tasks, according to Microsoft Technical report.

“These models are aimed at strengthening advanced programmers of AI’s capabilities,” said Weizhu Chen, AI generative vice president at Microsoft. “Phi-4-Multimodal, with its ability to process speech, vision and text at the same time, opens new possibilities of creating innovative and contextual applications.”

Technical achievement appears at a time when enterprises are increasingly looking for AI models that can operate on standard equipment or on “edge” – directly on devices than in the cloud data centers – to reduce costs and delays while maintaining data privacy.

How Microsoft has built a miniature AI model that does all this

What he sets Phi-4-Multimodal Besides, his novel “LORAS mixture“The technique, enabling it to support text, images and speech in one model.

“Using the LORAS mixture, Phi-4-Multimodal expands multimodal capabilities, while minimizing the disturbances between methods”, Research article countries. “This approach allows trouble -free integration and ensures consistent performance in tasks related to text, images and speech/sound.”

Innovation allows the model to maintain its powerful language capabilities while adding a vision and speech recognition without performance degradation, which often occurs when models are adapted to many input types.

The model has won the highest position in Hugging the face of the OpenSr Plaque of Leaders with a word error indicator of 6.14%, exceeding specialized speech recognition systems such as Whisperv3. It also shows competitive results in vision tasks, such as mathematical and scientific reasoning with images.

Compact artificial intelligence, huge influence: Phi-4-Mini sets fresh performance standards

Despite the compact size, PH-4-Mini It shows unique possibilities in text tasks. Microsoft reports that the model “exceeds models of similar sizes and is in the scope of two -larger models” in various comparative tests.

The performance of the model in mathematical and encoding tasks is particularly noteworthy. According to Research article“Phi-4-mini consists of 32 layers of transformers with a hidden state 3 072” and contains the attention of the group’s inquiry to optimize memory consumption to generate long contact.

On Benchmark GSM-8K MATHPhi-4-Mini achieved the result of 88.6%, exceeding most models of 8 million parameters, while at the mathematical level he reached 64%, much higher than competitors of similar size.

“In the case of a mathematical reference point, the model exceeds models of similar sizes with large margins, sometimes over 20 points. It even exceeds the models’ results twice as much, “notes the technical report.

Transformational implementation: actual Phi-4 performance in operation

CapacityAI response engine, which helps organizations unite a variety of data sets, has already used the Phi family to escalate the performance and accuracy of the platform.

Steve Frederickson, product head with capacity, said in statement“From our initial experiments, what really impressed us on Phi was his extraordinary accuracy and ease of implementation, even before adaptation. Since then, we were able to increase both accuracy and reliability, while while maintaining profitability and scalability, which we valued from the very beginning. “

The capacity has reported 4.2 -costs of costs compared to competitive work flows while reaching the same or better quality results for preliminary tasks.

AI without restrictions: Microsoft Phi-4 models bring advanced intelligence anywhere

For years, the development of artificial intelligence has been powered by peculiar philosophy: Bigger is better. More parameters, larger models, greater calculation requirements. But Microsoft Phi-4 models question this assumption, proving that power is not just about the scale-it comes to performance.

Phi-4-Multimodal AND PH-4-Mini They are designed not for technological giant data centers, but for the real world – where the computing power is circumscribed, the fears of privacy are the most critical, and AI must act without any problems without continuous connection with the cloud. These models are miniature, but they have weight. Phi-4-Multimodal integrates speech, vision and processing of text with a single system without dedicating accuracy, while Phi-4-Mini provides mathematics, coding and reasoning on couples with models twice as high.

It’s not just about increasing AI efficiency; It’s about making him more accessible. Microsoft has placed PHI-4 for universal adoption, thanks to which it is available Azure ai foundryIN Huggingand NVIDIA API directory. The goal is clear: AI, which is not blocked by exorbitant equipment or huge infrastructure, but one that can work on standard devices, on the edge of the network, and in industries where computing power is infrequent.

Masaya Nishimaki, director of the Japanese company AI Headwaters Co., Ltd., sees first -hand influence. “Edge AI has exceptional performance even in environments with unstable network connections or if confidentiality is the most important,” said Wa statement. This means artificial intelligence, which can function in factories, hospitals, autonomous vehicles-members, in which real-time intelligence is required, but in the case when classic cloud-based models are not compact.

At the heart of Phi-4 is a change in thinking. AI is not just a tool for people with the largest servers and the deepest pockets. It is an ability that, if well designed, can work anywhere, for everyone. The most revolutionary thing in Phi-4 is not what it can do-this is where it can do it.