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Despite the quantization course of, the mannequin nonetheless achieves a outstanding 78.05% accuracy (greedy decoding) on the HumanEval pass@1 metric. Despite the quantization course of, the mannequin nonetheless achieves a outstanding 73.8% accuracy (greedy decoding) on the HumanEval cross@1 metric. This involves feeding the information into the mannequin and permitting it to study patterns and relationships. Risk of biases because DeepSeek-V2 is skilled on vast quantities of knowledge from the web. DeepSeek described a technique to distribute this data analysis throughout a number of specialized AI models, reducing time and power misplaced in knowledge switch. I used to be fortunate to work with Heng Ji at UIUC and collaborate with improbable groups at DeepSeek. Nevertheless, the company’s success challenges the prevailing belief that a brute-pressure strategy - piling on more computing power and bigger analysis teams - is the only way forward in AI growth. We tackle these challenges by proposing ML-Agent, designed to successfully navigate the codebase, locate documentation, retrieve code, and generate executable code.