Evaluating Coding Proficiency of Large Language Models: An Investigation Through Machine Learning Problems
Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains, but their effectiveness in coding workflows, particularly in machine learning (ML), requires deeper evaluation. This paper investigates the coding proficiency of LLMs such as GPT and Gemini by benchmarking...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10937484/ |
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