Phi-4Microsoft
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Related Products
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About
Bitext provides multilingual, hybrid synthetic training datasets specifically designed for intent detection and LLM fineβtuning. These datasets blend large-scale synthetic text generation with expert curation and linguistic annotation, covering lexical, syntactic, semantic, register, and stylistic variation, to enhance conversational modelsβ understanding, accuracy, and domain adaptation. For example, their open source customerβsupport dataset features ~27,000 questionβanswer pairs (β3.57 million tokens), 27 intents across 10 categories, 30 entity types, and 12 languageβgeneration tags, all anonymized to comply with privacy, bias, and antiβhallucination standards. Bitext also offers vertical-specific datasets (e.g., travel, banking) and supports over 20 industries in multiple languages with more than 95% accuracy. Their hybrid approach ensures scalable, multilingual training data, privacy-compliant, bias-mitigated, and ready for seamless LLM improvement and deployment.
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About
Phi-4 is a 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 whatβs 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. 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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
NLP engineers and AI teams seeking a solution offering privacyβsafe datasets that combine synthetic scale with curated quality
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Audience
AI developers interested in a state-of-the-art small language model
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationBitext
Founded: 2008
United States
www.bitext.com/training-datasets/
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Company InformationMicrosoft
Founded: 1975
United States
microsoft.com
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Integrations
Hugging Face
BLACKBOX AI
Database Mart
LM-Kit.NET
Microsoft Foundry
Microsoft Foundry Models
NativeMind
Private Mind
Runpod
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Integrations
Hugging Face
BLACKBOX AI
Database Mart
LM-Kit.NET
Microsoft Foundry
Microsoft Foundry Models
NativeMind
Private Mind
Runpod
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