Improving the inference performance of LLM with code

Preprint | 
10.55415/.v2
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fei ding#*
Independent Researcher
Independent Researcher

# contributed equally to this work, * Corresponding author


Abstract

Large Language Models (LLMs) have shown exceptional generative abilities in various
natural language and generation tasks. Large language models (LLMs) have demonstrated
remarkable performance on a variety of natural language tasks based on just a few examples
of natural language instructions, reducing the need for extensive feature engineering. How
ever, LLM is relatively weaker in reasoning and problem-solving abilities. We propose a new
construction that solves the problem of insufficient logical mathematics and logical ability.

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  • 09 Jul 2024 00:07 Version 2
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