📢 Gate Square #MBG Posting Challenge# is Live— Post for MBG Rewards!
Want a share of 1,000 MBG? Get involved now—show your insights and real participation to become an MBG promoter!
💰 20 top posts will each win 50 MBG!
How to Participate:
1️⃣ Research the MBG project
Share your in-depth views on MBG’s fundamentals, community governance, development goals, and tokenomics, etc.
2️⃣ Join and share your real experience
Take part in MBG activities (CandyDrop, Launchpool, or spot trading), and post your screenshots, earnings, or step-by-step tutorials. Content can include profits, beginner-friendl
Babbitt News, recently, Shanghai Artificial Intelligence Laboratory (Shanghai AI Laboratory) released XTuner, an open source toolbox for large model training, which once again lowered the threshold for large model training. It is reported that XTuner focuses on the fine-tuning process, providing a lightweight fine-tuning framework for various open source large models, once again consolidating the practical tool attributes of the full-chain open source system. XTuner supports the adaptation of multiple levels of hardware. Developers only need to use a minimum of 8 GB of consumer-grade video memory to train an "exclusive large model" suitable for specific demand scenarios.