This academic article discusses a novel framework designed to enhance the natural language capabilities of Code Large Language Models (Code LLMs). Most existing works have focused on enhancing code LLMs…
Continue readingThis paper discusses a new method of teaching programming using Large Language Models (LLMs) and Prompt Problems. LLMs have revolutionized computing education, enabling students to learn coding through code generation…
Continue readingThe study addresses the challenge of efficiently combining foundational models with more specific models to enhance their capabilities. CALM Composition is proposed, which introduces cross-attention between models to compose their…
Continue readingThe article discusses the potential of Large Language Models (LLMs) to extract relevant insights from vast amounts of data. The authors propose a new evaluation methodology based on a ‘capture…
Continue readingThe article introduces a new type of programming exercise called ‘Prompt Problems’ to hone students’ skills in writing effective prompts for AI code generators. The authors present a new web-based…
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