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https://web.archive.org/web/20250422230833/http:/news.mit.edu/2025/making-ai-generated-code-more-accurate-0418

Making AI-generated code more accurate in any language

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains error free.



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Making AI-generated code more accurate in any language

https://web.archive.org/web/20250422230833/http:/news.mit.edu/2025/making-ai-generated-code-more-accurate-0418

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains error free.



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https://web.archive.org/web/20250422230833/http:/news.mit.edu/2025/making-ai-generated-code-more-accurate-0418

Making AI-generated code more accurate in any language

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains error free.

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      Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains error free.
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      João Loula, Vikash Mansinghka, large language models, generative AI, probabilistic programming

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