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Microsoft launches Phi-4, a new generative AI model
Microsoft launches Phi-4, a new generative AI model, in research preview
Microsoft has announced the newest addition to its Phi family of generative AI models: Phi-4. It's in limited research preview.
Microsoft announced Phi-4, a new AI that’s better at math and language processing
Microsoft has released a set of benchmarks showing Phi-4 outperforming even large language models like Gemini Pro 1.5 on math competition problems. Small language models, like ChatGPT-4o mini, Gemini 2.
Microsoft introduces Phi-4, an AI model for advanced reasoning tasks
The new small language model prioritizes efficiency and reasoning capabilities, leveraging Microsoft's focus on responsible AI development.
Microsoft Compact AI Model Phi-4 Takes on Mathematical Challenges
Phi-4 surpasses both similar-sized and larger models in mathematical problem-solving, including high-profile competitors including Gemini Pro 1.5
Microsoft releases Phi-4 language model trained mainly on synthetic data
Phi-4 is the fourth iteration of an open-source language model series Microsoft introduced last year. Its architecture is nearly identical to that of its predecessor, Phi-3-medium. Both neural networks feature 14 billion parameters and can process prompts with up to 4,000 tokens, units of data that each contain a few characters.
Microsoft Unveils Phi-4, A Small AI Model With Big Math Skills
The company has taken the wraps off its latest small language model, Phi-4, which is proving to be adept at mathematics.
Microsoft Unveils Phi-4: New AI Model for Mathematical Reasoning
The new model has 14 billion parameters with improved performance in mathematical reasoning. Microsoft attributes Phi-4's improved performance to the use of high-quality synthetic datasets alongside human-generated content, as well as unspecified post-training improvements.
Microsoft announces Phi-4, a small yet powerful new generative AI model, in research preview
Microsoft’s Phi-4, a 14-billion-parameter AI model, excels at mathematical reasoning with fewer resources than larger models.
Microsoft Phi-4 Open-Source Small Language Model Introduced; Claimed to Outperform Gemini 1.5 Pro
So far, every Phi series has been launched with a mini variant, however, no mini model accompanied the Phi-4 model. Microsoft, in a blog post, highlighted that Phi-4 is currently available on Azure AI Foundry under a Microsoft Research Licence Agreement (MSRLA). The company plans to make it available on Hugging Face next week as well.
Microsoft’s phi-4 is a Monstrous Small Model
Microsoft has launched their latest small model, the phi-4, with 14 billion parameters. The model is said to ‘excel’ at complex reasoning capabilities. It is currently available on Azure AI Foundry and will be available on Hugging Face from next week onwards. Microsoft has also released a detailed technical report for phi-4 .
Microsoft introduces Phi-4 AI model, surpassing Gemini Pro 1.5 in mathematical reasoning
Microsoft has launched Phi-4, a small language model with 14 billion parameters, excelling in complex reasoning and math tasks. It outperforms larger models like Gemini Pro 1.5, thanks to high-quality datasets and innovative techniques,
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Microsoft’s Phi-4 (14B) AI Model Tested Locally: Performance, Limitations and Future Potential
Explore Phi-4's potential and limitations in AI tasks like structured data handling, code generation, and ambiguous question ...
Cryptopolitan on MSN
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Microsoft debuts Phi-4, a new generative AI model – Here’s the package
Microsoft
has unveiled
Phi-4
, the latest iteration in its Phi series of generative artificial intelligence (AI) models.
1d
on MSN
Why Microsoft’s New AI May Speed Up Your Company’s Use of New Technology
Leading AI models use a lot of unwieldy code and computing power, but the new Phi 4 model is small enough that companies ...
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Microsoft’s smaller AI model beats the big guys: Meet Phi-4, the efficiency king
Microsoft’s new AI model, Phi-4, outperforms larger competitors like Google’s Gemini Pro with superior mathematical reasoning while using fewer resources.
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