ChainGPT Unveils Cutting-Edge Solidity LLM to Redefine Smart Contract Development

ChainGPT, a popular AI-driven platform to improve the crypto, blockchain, and Web3 sectors, has introduced a new product, Solidity LLM, in collaboration with Alibaba Cloud. LLM stands for Large Language Model, a type of artificial intelligence (AI) designed to understand, generate, and interact with human language. As per ChainGPT, Solidity LLM is a completely open-source large language model to redefine the development of smart contracts. The platform took to its official X account to disclose the details of this development.

ChainGPT Introduces Solidity LLM, Revolutionizing Smart Contract Generation

By launching Solidity LLM, ChainGPT aims to provide a remarkable solution for a long-standing issue in the blockchain and AI intersection. Hence, the latest product will generate optimized, production-ready, and secure smart contracts from just text prompts. With this, the project focuses on revolutionizing smart contract development.

Dissimilar to majority of the AI coding instruments that often produce non-compiling and buggy code, Solidity LLM is specifically developed for Solidity. Solidity is the key programming language for EVM-compatible blockchains apart from Ethereum. The developers conventionally spend considerable time debugging contracts generated by AI. However, ChainGPT’s latest model reportedly eliminates the respective bottleneck with the provision of cutting-edge, compatible contracts.

In this respect, Solidity LLM has a staggering eighty-three percent compilation success rate. This signifies a massive jump over other competing models. Additionally, to guarantee real-world readiness, ChainGPT has also benchmarked Solidity in comparison with 350 different test prompts. Thus, it analyzed each of the outputs for probable vulnerabilities and gas usage, and compliance with OpenZeppelin security protocols.

Driving Security Compliance, Minimizing Gas Charges, and Bolstering Smart Contract Deployment

According to ChainGPT , this benchmarking disclosed seventy-two percent enhanced gas efficiency, seventy percent code-line efficiency, as well as sixty-five percent OpenZeppelin compliance. Keeping this in view, Solidity LLM’s launch is a key step to deliver widely-accessible AI instruments for Web3. Along with that, by decreasing manual debugging, enhancing security compliance, and minimizing gas costs, the project could significantly boost smart contract deployment.