Tag: Hugging Face
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Open Deep Research: Democratizing AI-Powered Research Tools
Born in just 24 hours, Open Deep Research by Hugging Face is a bold step toward open AI research, rivaling proprietary models with community-driven innovation.
ML Commons and Hugging Face Release 1M+ Hour Voice Dataset for AI
The ML Commons and Hugging Face voice dataset provides 1M+ hours of multilingual speech data, advancing AI speech recognition and text-to-speech models. Explore its impact, ethical concerns, and real-world applications.
Running OpenChat and Zephyr Locally – How They Compare to DeepSeek R1
Learn how to run OpenChat and Zephyr locally and compare their performance with DeepSeek R1. Discover installation steps, use cases, and practical insights on leveraging these powerful open-source LLMs.
Smol-ERVLM: Lightweight Vision-Language Model for Efficient AI
Smol-ERVLM is Hugging Face’s lightweight vision-language model optimized for mobile, edge, and embedded AI. Explore its architecture, benchmarks, and real-world applications in this deep dive.
Microsoft Phi-4: Compact AI Revolutionizing Efficiency
Discover Microsoft Phi-4, the compact AI model offering exceptional performance and accessibility. Learn how it’s revolutionizing industries with sustainability and efficiency.