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Here’s why GPT-4 outperforms GPT3.5, LLMs in code debugging Here’s why GPT-4 outperforms GPT3.5, LLMs in code debugging

Here’s why GPT-4 outperforms GPT3.5, LLMs in code debugging

GPT-4 spotted 100% of bugs, GPT3.5 caught 50%, and open source Large Language Models failed almost completely.

Here’s why GPT-4 outperforms GPT3.5, LLMs in code debugging

Cover art/illustration via CryptoSlate. Image includes combined content which may include AI-generated content.

As AI technology advances, its potential impact on the web3 ecosystem becomes more apparent. A recent CatId benchmarking test showcased GPT-4's incredible bug detection capabilities, making it a potential game-changer in the space. However, there are concerns about the practicality of GPT-4 in handling real-world applications with complex code and dependencies. What does this mean for the future of AI in the web3 ecosystem, and how might it reshape the conversation around technology and smart contracts...