A heartfelt thank you to our dedicated FLock community for your unwavering support during the FLock Researcher Campaign. Following a series of significant upgrades, we’re thrilled to unveil FLock Researcher V2.0, now featuring wallet integration. Seize the chance to claim $FLC on the FLock Online Faucet Page, delve into the enhanced capabilities of FLock Researcher V2.0, and participate in guessing the agent’s identity to win a share of $500 in prizes. Let’s explore the details!
Introducing Wallet Integration in FLock Researcher V2.0
Bid farewell to the bottlenecks of V1.0 with FLock Researcher V2.0, which resolves congestion issues and integrates web3 wallet connectivity. This iteration shifts from the one-size-fits-all AI model to a decentralized network of domain-specific agents — each an LLM expertly fine-tuned for precision in its domain. We’ve launched with five specialized agents, masters in their fields — News, Mathematics, Financial Analysis, Physics, and Real Estate — ensuring unparalleled precision and expertise. Looking ahead, the platform will empower you to custom-tailor your own LLM, harnessing deep domain knowledge to meet your unique needs.
Details of FLock Guess-Off!
⏰ Campaign Schedule
Start: 11/10 10:00 UTC
End: 11/17 10:00 UTC
Winner Announcement & Prizes Dispatch: By 11/23 10:00 UTC
💰 Prize Breakdown
📖 Your Guide to Guess the Agent’s Identity:
- Complete the FLock Quest: https://testnet.flock.io/quest
- Participate in the FLock Researcher V2.0 Campaign: https://testnet.flock.io/flockresearcher
And there’s more…
Every interaction within the FLock Ecosystem is not only valuable but also has the potential to yield future benefits, including tokens and exclusive NFTs.
About FLock.io
FLock.io is a decentralized and permissionless platform for co-owned AI models and Dapps. By harnessing the synergies of Federated Learning and blockchain technologies, we address the growing demands of models and potential data breach threats, guaranteeing secure model training without revealing underlying source data, and fair rewards to data contribution and community collaboration.
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