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Answering High-precision Problems for LLMs by Combining Text2code
  • Tong Guo
Tong Guo

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The current large language models (LLMs) mainly lacks this capability: answering  high-precision questions/prompts. LLMs is actually a powerful fuzzy memory system that makes it difficult to answer high-precision questions. The results of code execution is a kind of high-precision answer. And expert system applications need to answer these kinds of questions. In this paper, to solve the above problem, We propose a design of LLMs combined with the text2code approach.
29 Dec 2023Submitted to TechRxiv
08 Jan 2024Published in TechRxiv