首页|Higher School of Economics Researchers Highlight Research in Machine Learning (L inguacodus: a synergistic framework for transformative code generation in machin e learning pipelines)
Higher School of Economics Researchers Highlight Research in Machine Learning (L inguacodus: a synergistic framework for transformative code generation in machin e learning pipelines)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Mosc ow, Russia, by NewsRx correspondents, research stated, "In the ever-evolving lan dscape of machine learning, seamless translation of natural language description s into executable code remains a formidable challenge." Our news reporters obtained a quote from the research from Higher School of Econ omics: "This article introduces Linguacodus, an innovative framework designed to tackle this challenge by deploying a dynamic pipeline that iteratively transfor ms natural language task descriptions into code through high-level data-shaping instructions. The core of Linguacodus is a fine-tuned large language model, empo wered to evaluate diverse solutions for various problems and select the most fit ting one for a given task. This article details the fine-tuning process and shed s light on how natural language descriptions can be translated into functional c ode. Linguacodus represents a substantial leap towards automated code generation , effectively bridging the gap between task descriptions and executable code. It holds great promise for advancing machine learning applications across diverse domains. Additionally, we propose an algorithm capable of transforming a natural description of an ML task into code with minimal human interaction."
Higher School of EconomicsMoscowRuss iaEurasiaCyborgsEmerging TechnologiesMachine Learning
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