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Home » Singapore Tech Firm Introduces Web3 Focused AI Tool for Accurate Smart Contracts Documentation Generation

Singapore Tech Firm Introduces Web3 Focused AI Tool for Accurate Smart Contracts Documentation Generation

Kelly Cromley by Kelly Cromley
Jul 5, 2023
in Market News, News
Reading Time: 1 min read
0

Bunzz PTE LTD, a technology company headquartered in Singapore, has provided details of its forthcoming release of “DeCipher,” a cutting-edge tool driven by artificial intelligence. This groundbreaking solution is poised to transform the landscape of smart contract documentation generation. The registration process for the DeCipher waitlist has commenced and has garnered the attention of more than 2,000 users. With a planned launch date set for mid-July 2023, DeCipher is positioned to revolutionize the realm of blockchain development.

DeCipher leverages the capabilities of sophisticated AI models, namely ChatGPT3.5 and 4, that have undergone meticulous optimization to effectively analyze smart contracts. The outcome is a GPT specifically designed for smart contracts, showcasing remarkable accuracy that has left the Bunzz team thoroughly impressed. Bunzz’s commitment to pioneering technology is exemplified by the ongoing patent application for DeCipher’s distinctive fine-tuning methodology.

The utilization of DeCipher is characterized by its remarkable simplicity. Developers can effortlessly generate comprehensive documentation by easily copying and pasting the URL of the contract. DeCipher offers seamless accessibility through the Bunzz Chrome Extension, which can be conveniently accessed via popular Block Explorers such as Etherscan.

The benefits offered by DeCipher extend beyond the analysis of smart contracts. The Bunzz CLI can be utilized by developers to make modifications to contracts subsequent to their analysis. Furthermore, the Bunzz VS Code Extension offers a comprehensive solution by facilitating deployment to all blockchains that are compatible with the Ethereum Virtual Machine (EVM). The aforementioned features possess considerable importance for developers who seek to develop new applications by branching out from existing DApps. This approach significantly improves the efficiency of their product development process.

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