💥 Gate Square Event: #PostToWinCC 💥
Post original content on Gate Square related to Canton Network (CC) or its ongoing campaigns for a chance to share 3,334 CC rewards!
📅 Event Period:
Nov 10, 2025, 10:00 – Nov 17, 2025, 16:00 (UTC)
📌 Related Campaigns:
Launchpool: https://www.gate.com/announcements/article/48098
CandyDrop: https://www.gate.com/announcements/article/48092
Earn: https://www.gate.com/announcements/article/48119
📌 How to Participate:
1️⃣ Post original content about Canton (CC) or its campaigns on Gate Square.
2️⃣ Content must be at least 80 words.
3️⃣ Add the hashtag #PostTo
Microsoft Open Source New Version of Phi-4: Inference Efficiency Rises 10 Times, Can Run on Laptops
Jin10 data reported on July 10, this morning, Microsoft open sourced the latest version of the Phi-4 family, Phi-4-mini-flash-reasoning, on its official website. The mini-flash version continues the Phi-4 family’s characteristics of small parameters and strong performance, specifically designed for scenarios limited by Computing Power, memory, and latency, capable of running on a single GPU, suitable for edge devices like laptops and tablets. Compared to the previous version, mini-flash utilizes Microsoft’s self-developed innovative architecture, SambaY, resulting in a big pump in inference efficiency by 10 times, with average latency reduced by 2-3 times, achieving a significant improvement in overall inference performance.