Linguacodus: A Synergistic Framework for Transformative Code Generation in Machine Learning Pipelines

arXiv:2403.11585v1 Announce Type: new
Abstract: In the ever-evolving landscape of machine learning, seamless translation of natural language descriptions into executable code remains a formidable challenge. This paper introduces Linguacodus, an innovative framework designed to tackle this challenge by deploying a dynamic pipeline that iteratively transforms natural language task descriptions into code through high-level data-shaping instructions. The core of Linguacodus is a fine-tuned large language model (LLM), empowered to evaluate diverse solutions for various problems and select the most fitting one …

abstract arxiv challenge code code generation cs.ai cs.cl cs.lg cs.pl cs.se dynamic framework landscape language machine machine learning natural natural language paper pipeline pipelines translation type