Microsoft Phi-4 Mini Brings AI to Smartphones
Microsoft launches Phi-4 Mini, its smallest language model designed to run entirely on-device on modern smartphones.
🏷️ Small Language Models
14 articles about 'Small Language Models'
Microsoft Phi-4 Rivals GPT-4 on Reasoning
Microsoft's Phi-4 small language model matches GPT-4 performance on key reasoning benchmarks while running on a fraction…
Hugging Face Unveils SmolLM 3 for Edge AI
Hugging Face releases SmolLM 3, a compact language model designed to run efficiently on smartphones, IoT devices, and la…
Hugging Face Launches Open-Source Small Model Toolkit
Hugging Face releases a new open-source toolkit designed to simplify fine-tuning small language models under 3B paramete…
Hugging Face Launches SmolLM 3 for On-Device AI
Hugging Face releases SmolLM 3, a family of compact language models designed to run directly on smartphones, laptops, an…
Microsoft Phi-4 Mini Brings AI to Edge Devices
Microsoft launches Phi-4 Mini, a compact language model optimized for edge deployment with breakthrough efficiency on re…
Microsoft Phi-5 Beats GPT-4 on Edge Devices
Microsoft's new Phi-5 small language model delivers GPT-4-level performance while running locally on smartphones and lap…
SmolLM 3: Hugging Face's Compact Model Rivals GPT-4o Mini
Hugging Face launches SmolLM 3, a small but powerful open-weight language model that challenges GPT-4o Mini across key b…
Microsoft Phi-5 Matches GPT-4 With Fraction of Parameters
Microsoft Research releases Phi-5, a small language model that rivals GPT-4 performance while running on consumer hardwa…
Why Small Language Models May Matter More Than GPT-5
Small language models are quietly reshaping enterprise AI, offering cost savings, privacy, and speed that massive fronti…
Microsoft Phi-4 Rivals GPT With Just 14B Parameters
Microsoft Research unveils Phi-4, a 14-billion parameter small language model that matches or exceeds GPT-4 on key bench…
Small AI Models Are Beating Giants — Here's Why
Specialized smaller AI models increasingly outperform massive general-purpose systems in cost, speed, and accuracy acros…