📢 Gate Square Exclusive: #PUBLIC Creative Contest# Is Now Live!
Join Gate Launchpool Round 297 — PublicAI (PUBLIC) and share your post on Gate Square for a chance to win from a 4,000 $PUBLIC prize pool
🎨 Event Period
Aug 18, 2025, 10:00 – Aug 22, 2025, 16:00 (UTC)
📌 How to Participate
Post original content on Gate Square related to PublicAI (PUBLIC) or the ongoing Launchpool event
Content must be at least 100 words (analysis, tutorials, creative graphics, reviews, etc.)
Add hashtag: #PUBLIC Creative Contest#
Include screenshots of your Launchpool participation (e.g., staking record, reward
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.