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Automating code optimization with LLMs
Practical AI: Machine Learning, Data Science, LLM
Applying Multi-Objective Optimization in Code Translation
Multi-objective optimization allows for different objectives to be optimized in translation, such as speed, memory usage, and CPU usage. Our tool provides suggestions and support for users who want to improve code readability while maintaining performance. This AI approach, including our tool Artemis and other LLM tools, can help guarantee quality across multiple projects and teams. However, one challenge with LLM-based tools is that the generated code is not guaranteed to work perfectly, and additional security checks are needed. There is also a risk of breaking the existing code.
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