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Enhancing Code Completion for Rust in Cody
Learn about our efforts to improve LLM code completion performance for the Rust programming language.
In both proprietary and OSS models, there is a drastic performance drop on the pass@1 metric between languages like Python and JavaScript versus Ruby, PHP, Rust, and Matlab. This ensures a more accurate and efficient determination of the largest prime factor, addressing both the immutability error and logical completeness present in the base model's approach. The finetuned model employs efficient algorithms, enhancing performance and accuracy, as seen in examples like sorting arrays and using the three-pointer technique for triplet sum detection.
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