
co-founder gizatech.xyz 🚀 / prev. Head of ML Eng. @adidas / ZKML / tech+optimism.
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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
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
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/
If we want ML to thrive in web3, we need the right tools and products for developers to build ML solutions that create value in protocols. Giza Datasets makes easy to build ML models for web3 use cases using curated and labeled data. https://www.gizatech.xyz/collection/introducing-giza-datasets