Microsoft plans $3 billion AI investment in India, Nadella says | TechCrunch
“Microsoft presents rStar-Math Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking On the MATH benchmark, it improves Qwen2.5-Math-7B from 58.8% to 90.0% and Phi3-mini-3.8B from 41.4% to 86.4%, surpassing o1-preview by +4.5% and +0.9%. On the USA Math Olympiad
https://x.com/_akhaliq/status/1877206745652592763
“Microsoft on a ROLL! rStar-Math achieves SoTA math reasoning with 90.0% accuracy (up from 58.8% for Qwen2.5-Math-7B) and 86.4% accuracy (up from 41.4% for Phi3-mini-3.8B), 🔥 surpassing o1-preview by 4.5% and 0.9%, and solves 53.3% of USA Math Olympiad problems, ranking among
https://x.com/reach_vb/status/1877244481851822362
“Microsoft’s new rStar-Math technique upgrades small models to outperform OpenAI’s o1-preview at math problems 🤯 rStar-Math technique enhances small language models (SLMs) using Monte Carlo Tree Search (MCTS) and self-evolution strategies. Applied to models like Qwen-7B and
https://x.com/rohanpaul_ai/status/1877483791414882763
PromptWizard: The future of prompt optimization through feedback-driven self-evolving prompts – Microsoft Research
PromptWizard: The future of prompt optimization through feedback-driven self-evolving prompts
The Golden Opportunity for American AI – Microsoft On the Issues
https://blogs.microsoft.com/on-the-issues/2025/01/03/the-golden-opportunity-for-american-ai/
“The model weights of Microsoft’s phi-4 14B LLM are now finally publicly available. Thanks to a kind community contribution, it’s now also available in LitGPT already (litgpt finetune microsoft/phi-4):
https://x.com/rasbt/status/1877380409387802946
Microsoft makes Phi-4 model fully open source on Hugging Face | VentureBeat
Microsoft makes powerful Phi-4 model fully open-source on Hugging Face
microsoft/phi-4 · Hugging Face
https://huggingface.co/microsoft/phi-4
