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Aptos Labs Advances Web3 with Microsoft Azure OpenAI Service

Aptos Labs Advances Web3 with Microsoft Azure OpenAI Service

The Aptos Labs team announced that it will fulfill its promise to quickly introduce innovative and secure solutions that fuse Microsoft’s generative artificial intelligence (AI) with Aptos’ blockchain technology.

The companies are actively testing and learning from the process, with a focus on developing solutions for various Web3 use cases, such as finance, e-commerce, and gaming. This partnership aims to eliminate barriers to adoption and establish a clear path for the practical application of Web3 technologies.

Aptos developers are welcome to use the Microsoft for Startups Founders Hub, which offers qualified startups up to $150,000 in Azure cloud credits, to evaluate their products on Microsoft Azure.

Aptos Assistant is here to support developers building on Aptos regardless of their degree of Web3 knowledge to remove one of the biggest obstacles standing in the way of Web3’s widespread adoption.

For anyone wishing to construct, refine, or expand upon solutions built on top of Aptos, the solution is currently accessible. The Azure OpenAI Service has made a hitherto complex process well-integrated and approachable using Aptos Assistant, which assists developers in constructing smart contracts.

Azure validation enhances global dApp distribution in 60 regions and 140 countries. Developers can leverage Azure tools for app development, accessing up-to-date services with a flexible, scalable, and high-performance cloud infrastructure.

Daniel An, Microsoft’s Global Director of Business Development, AI, and Web3, said, “Our collaboration with Aptos Labs is a testament to the synergistic power of AI, blockchain, and data.

According to Avery Ching, Co-Founder & CTO of Aptos Labs, “Aptos Assistant, along with everything developed and shipped on Microsoft Azure, incorporates a secure, and trusted infrastructure layer — with iterations and upgrades informed by experimentation, testing, and real user feedback.”

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