📢 #Gate Square Writing Contest Phase 3# is officially kicks off!
🎮 This round focuses on: Yooldo Games (ESPORTS)
✍️ Share your unique insights and join promotional interactions. To be eligible for any reward, you must also participate in Gate’s Phase 286 Launchpool, CandyDrop, or Alpha activities!
💡 Content creation + airdrop participation = double points. You could be the grand prize winner!
💰Total prize pool: 4,464 $ESPORTS
🏆 First Prize (1 winner): 964 tokens
🥈 Second Prize (5 winners): 400 tokens each
🥉 Third Prize (10 winners): 150 tokens each
🚀 How to participate:
1️⃣ Publish an
Decentralization AI training platform FLock.io has reached a strategic cooperation with Alibaba Cloud, focusing on three major technological directions.
CoinVoice has recently learned that the decentralized AI training platform FLock.io has officially announced a strategic partnership with Qwen, a leading open-source large language model series under Alibaba Cloud, marking a deep connection between decentralized AI and blockchain technology within the mainstream AI ecosystem.
This collaboration focuses on three major technological breakthrough directions:
Technology Integration: Combining Alibaba Cloud's centralized infrastructure with FLock.io's Decentralization technology to jointly develop domain-specific and general AI models, while promoting the seamless integration of Decentralization AI models into centralized platforms.
Data Privacy Protection: Exploring the combination of distributed ledger technology and federated learning to address data privacy and sovereignty issues in model training, providing innovative solutions for the secure application of private data.
Collaborative Innovation: Through joint research and technological collaboration, create a more inclusive, scalable, and privacy-protecting AI ecosystem to promote the collaborative development of centralized and decentralized AI.
As one of the world's leading large language models, Qwen has demonstrated exceptional performance in multiple authoritative benchmark tests and is widely used in natural language processing, content generation, and other fields. Through this collaboration, FLock and Qwen will explore a deeper integration of technology, maintaining the advantages of high-performance AI models while promoting the application of decentralized AI training in a broader range of scenarios, making it more accessible, flexible, and valuable in both centralized and decentralized ecosystems.