AI & RoboticsNews

More accurate coding: Researchers adapt Sequential Monte Carlo for AI-generated code

Coding with the help of AI models continues to gain popularity, but many have highlighted issues that arise when developers rely on coding assistants. However, researchers from MIT, McGill University, ETH Zurich, Johns Hopkins University, Yale and the Mila-Quebec Artificial Intelligence Institute have developed a new method for ensuring that AI-generated codes are more accurate and useful. This…
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