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Carl Franzen@AI News | VentureBeat
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Microsoft has announced the release of Phi-4-reasoning-plus, a new small, open-weight language model designed for advanced reasoning tasks. Building upon the architecture of the previously released Phi-4, this 14-billion parameter model integrates supervised fine-tuning and reinforcement learning to achieve strong performance on complex problems. According to Microsoft, the Phi-4 reasoning models outperform larger language models on several demanding benchmarks, despite their compact size. This new model pushes the limits of small AI, demonstrating that carefully curated data and training techniques can lead to impressive reasoning capabilities.
The Phi-4 reasoning family, consisting of Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning, is specifically trained to handle complex reasoning tasks in mathematics, scientific domains, and software-related problem solving. Phi-4-reasoning-plus, in particular, extends supervised fine-tuning with outcome-based reinforcement learning, which is targeted for improved performance in high-variance tasks such as competition-level mathematics. All models are designed to enable reasoning capabilities, especially on lower-performance hardware such as mobile devices.
Microsoft CEO Satya Nadella revealed that AI is now contributing to 30% of Microsoft's code. The open weight models were released with transparent training details and evaluation logs, including benchmark design, and are hosted on Hugging Face for reproducibility and public access. The model has been released under a permissive MIT license, enabling its use for broad commercial and enterprise applications, and fine-tuning or distillation, without restriction.
ImgSrc: venturebeat.com
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The Phi-4 reasoning family, consisting of Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning, is specifically trained to handle complex reasoning tasks in mathematics, scientific domains, and software-related problem solving. Phi-4-reasoning-plus, in particular, extends supervised fine-tuning with outcome-based reinforcement learning, which is targeted for improved performance in high-variance tasks such as competition-level mathematics. All models are designed to enable reasoning capabilities, especially on lower-performance hardware such as mobile devices.
Microsoft CEO Satya Nadella revealed that AI is now contributing to 30% of Microsoft's code. The open weight models were released with transparent training details and evaluation logs, including benchmark design, and are hosted on Hugging Face for reproducibility and public access. The model has been released under a permissive MIT license, enabling its use for broad commercial and enterprise applications, and fine-tuning or distillation, without restriction.
ImgSrc: venturebeat.com
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References :
- the-decoder.com: Microsoft's Phi-4-reasoning models outperform larger models and run on your laptop or phone
- MarkTechPost: Microsoft AI Released Phi-4-Reasoning: A 14B Parameter Open-Weight Reasoning Model that Achieves Strong Performance on Complex Reasoning Tasks
- THE DECODER: Microsoft's Phi-4-reasoning models outperform larger models and run on your laptop or phone
- AI News | VentureBeat: The release demonstrates that with carefully curated data and training techniques, small models can deliver strong reasoning performance.
- Maginative: Microsoft’s Phi-4 Reasoning Models Push the Limits of Small AI
- www.marktechpost.com: Microsoft AI Released Phi-4-Reasoning: A 14B Parameter Open-Weight Reasoning Model that Achieves Strong Performance on Complex Reasoning Tasks
- www.tomshardware.com: Microsoft's CEO reveals that AI writes up to 30% of its code — some projects may have all of its code written by AI
- Ken Yeung: Microsoft’s New Phi-4 Variants Show Just How Far Small AI Can Go
- www.tomsguide.com: Microsoft just unveiled new Phi-4 reasoning AI models — here's why they're a big deal
- Techzine Global: Microsoft is launching three new advanced small language models as an extension of the Phi series. These models have reasoning capabilities that enable them to analyze and answer complex questions effectively.
- Analytics Vidhya: Microsoft Launches Two Powerful Phi-4 Reasoning Models
- www.analyticsvidhya.com: Microsoft Launches Two Powerful Phi-4 Reasoning Models
- www.windowscentral.com: Microsoft Introduces Phi-4 Reasoning SLM Models — Still "Making Big Leaps in AI" While Its Partnership with OpenAI Frays
- Towards AI: Phi-4 Reasoning Models