News from the AI & ML world
DeeperML
@www.microsoft.com
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Microsoft is pushing the boundaries of AI with advancements in both model efficiency and novel applications. The company recently commemorated the one-year anniversary of Phi-3 by introducing three new small language models: Phi-4-reasoning, Phi-4-reasoning-plus, and Phi-4-mini-reasoning. These models are designed to deliver complex reasoning capabilities that rival much larger models while maintaining efficiency for diverse computing environments. According to Microsoft, "Phi-4-reasoning generates detailed reasoning chains that effectively leverage additional inference-time compute," demonstrating that high-quality synthetic data and careful curation can lead to smaller models that perform comparably to their more powerful counterparts.
The 14-billion parameter Phi-4-reasoning and its enhanced version, Phi-4-reasoning-plus, have shown outstanding performance on numerous benchmarks, outperforming larger models. Notably, they achieve better results than OpenAI's o1-mini and a DeepSeek R1 distill on Llama 70B on mathematical reasoning and PhD-level science questions. Furthermore, Phi-4-reasoning-plus surpasses the massive 671-billion parameter DeepSeek-R1 model on AIME and HMMT evaluations. These results highlight the efficiency and competitive edge of the new models.
In addition to pushing efficiency, Microsoft Research has introduced ARTIST (Agentic Reasoning and Tool Integration in Self-improving Transformers), a framework that combines agentic reasoning, reinforcement learning, and dynamic tool use to enhance LLMs. ARTIST enables models to autonomously decide when, how, and which tools to use. This framework aims to address the limitations of static internal knowledge and text-only reasoning, especially in tasks requiring real-time information or domain-specific expertise. The integration of reinforcement learning allows the models to adapt dynamically and interact with external tools and environments during the reasoning process, ultimately improving their performance in real-world applications.
ImgSrc: www.microsoft.c
References :
The 14-billion parameter Phi-4-reasoning and its enhanced version, Phi-4-reasoning-plus, have shown outstanding performance on numerous benchmarks, outperforming larger models. Notably, they achieve better results than OpenAI's o1-mini and a DeepSeek R1 distill on Llama 70B on mathematical reasoning and PhD-level science questions. Furthermore, Phi-4-reasoning-plus surpasses the massive 671-billion parameter DeepSeek-R1 model on AIME and HMMT evaluations. These results highlight the efficiency and competitive edge of the new models.
In addition to pushing efficiency, Microsoft Research has introduced ARTIST (Agentic Reasoning and Tool Integration in Self-improving Transformers), a framework that combines agentic reasoning, reinforcement learning, and dynamic tool use to enhance LLMs. ARTIST enables models to autonomously decide when, how, and which tools to use. This framework aims to address the limitations of static internal knowledge and text-only reasoning, especially in tasks requiring real-time information or domain-specific expertise. The integration of reinforcement learning allows the models to adapt dynamically and interact with external tools and environments during the reasoning process, ultimately improving their performance in real-world applications.
ImgSrc: www.microsoft.c
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References :
- Microsoft Research: In this issue: New research on compound AI systems and causal verification of the Confidential Consortium Framework; release of Phi-4-reasoning; enriching tabular data with semantic structure, and more. The post appeared first on .
- www.microsoft.com: Research Focus: Week of May 7, 2025
- learn.aisingapore.org: Phi-4-reasoning, a 14-billion parameter model, has been released by Microsoft. The model has shown promise in achieving competitive performance with larger models through supervised fine-tuning and synthetic data curation.
- Source: Microsoft Fusion Summit explores how AI can accelerate fusion research
Classification:
- HashTags: #AIresearch #MicrosoftAI #FusionEnergy
- Company: Microsoft
- Target: AI researchers, energy sector
- Product: Phi-4
- Feature: AI Research
- Type: Research
- Severity: Informative