testnet.flock.io
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Submission: On October 09 via api from US — Scanned from DE
Submission: On October 09 via api from US — Scanned from DE
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Home Train Faucet Marketplace Analytics About Us Connect Wallet THE ON-CHAIN DECENTRALIZED MACHINE LEARNING PLATFORM Federated Learning on Blockchain Download App Start Training NLP FLOCK LLM My project starts with a pre-trained Vicuna model, which we then do model finetuning using the Dolly dataset. To optimize the process, we utilize decentralized and federated training methods, allowing us to train the finteune model across multiple nodes simultaneouslyUpdated 0 days ago NLP 10.00% Rewards Return Rate 1 Participants Requirements Creator Name Short of 1 to start SENTIMENT ANALYSIS The model categorises opinions in text or reviews about a product/ brand/ merchant to determine whether the sentiment is positive or negative. This helps providers monitor their performance.Updated 0 days ago NLP 20.00% Rewards Return Rate 1 Participants Requirements Creator Name Short of 1 to start FLOCK LLM ALPACA DATASET My project starts with the Vicuna base model, which we then fine-tune using the Alpaca dataset. To optimize the process, we utilize distributed training methods, allowing us to train the model across multiple nodes simultaneouslyUpdated 0 days ago NLP 20.00% Rewards Return Rate 2 Participants Requirements Creator Name Short of 0 to start FLOCK SENTIMENT ANALYSIS The model categorises opinions in text or reviews about a product/ brand/ merchant to determine whether the sentiment is positive or negative. This helps providers monitor their performance.Updated 0 days ago NLP 10.00% Rewards Return Rate 2 Participants Requirements Creator Name Short of 0 to start FLOCK LLM DOLLY My project starts with a pre-trained Vicuna model, which we then do model finetuning using the Dolly dataset. To optimize the process, we utilize decentralized and federated training methods, allowing us to train the finteune model across multiple nodes simultaneouslyUpdated 0 days ago NLP 20.00% Rewards Return Rate 1 Participants Requirements Creator Name Short of 1 to start FINANCE CREDIT CARD FRAUD DETECTION Credit card issuers run the model to alert/block fraudulent transactions so that consumers are not charged for the items they did not purchase.Updated 0 days ago Finance 20.00% Rewards Return Rate 1 Participants Requirements Creator Name Short of 0 to start CREDIT CARD FRAUD DETECTION PINATA Credit card issuers run the model to alert/block fraudulent transactions so that consumers are not charged for the items they did not purchase.Updated 0 days ago Finance 10.00% Rewards Return Rate 2 Participants Requirements Creator Name Short of 1 to start CREDIT CARD FRAUD DETECTION PINATA TEST #2 Credit card issuers run the model to alert/block fraudulent transactions so that consumers are not charged for the items they did not purchase.Updated 0 days ago Finance 10.00% Rewards Return Rate 2 Participants Requirements Creator Name Short of 2 to start VERSION 0.0.5 TEST version 0.0.5 testUpdated 0 days ago Finance 100.00% Rewards Return Rate 84 Participants Requirements Creator Name Short of 84 to start