Fran Algaba (fran)

The future of Web3 is agentic. Presenting Giza Agents: A modular framework for integrating trust-minimized ML into on-chain strategy and action. https://www.gizatech.xyz/collection/introducing-giza-agents-framework

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Introducing Token Volatility Forecasting tutorial! 📈 Using the complete Giza stack, we predict the volatility of various tokens, compare these predictions against a benchmark, and execute the AI action. https://t.co/KuLdf2QAmF

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Aave Liquidation Prediction Tutorial is live! Learn how to use Giza Datasets and the Actions SDK to develop a Verifiable ML Model for forecasting the liquidation of debt positions in Aave V2 and V3 protocols. https://t.co/LS5gE743XF

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Calling all ML developers, data scientists, and ZK builders! Join Gizathon and Build ML Models for Web3, with Giza’s tools for ZKML. 📅February 19th - 26th 🏆$10,000 prize pool 📍Online Register here: https://764trmbrrb1.typeform.com/to/ApNFyqgm https://twitter.com/gizatechxyz/status/1755986306625089550

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The future of Web3 is agentic. Presenting Giza Agents: A modular framework for integrating trust-minimized ML into on-chain strategy and action. https://www.gizatech.xyz/collection/introducing-giza-agents-framework

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Starting today, I'm rolling out a series of articles on ZKML. I'll be exploring this topic with content that haven't been discussed much. First one is simple: 👉Introduction to ZKML for blockchains https://www.franalgaba.me/introduction-to-zero-knowledge-machine-learning-for-blockchains/

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Aave Liquidation Prediction Tutorial is live! Learn how to use Giza Datasets and the Actions SDK to develop a Verifiable ML Model for forecasting the liquidation of debt positions in Aave V2 and V3 protocols. https://t.co/LS5gE743XF

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