Official implementation for "Get an A in Math: Progressive Rectification Prompting" (AAAI 2024)
-
Updated
Mar 18, 2024 - Python
Official implementation for "Get an A in Math: Progressive Rectification Prompting" (AAAI 2024)
Prompt Design & LLM Judge
The study explores zero-shot and few-shot prompting strategies using Meta's quantized LLaMA 3.1 70B model to perform Named Entity Recognition (NER) on Nepali text.
Estudo empírico que avalia a assertividade lógica, desempenho (tempo/memória) e qualidade estrutural (Complexidade Ciclomática e Cognitiva) de código PHP gerado via Zero-Shot Prompting por Claude Sonnet 5, Gemini 3.5 Flash e GPT-5.5 Instant, usando 20 problemas do LeetCode.
Comparison of five prompt engineering techniques for LLM-based text summarization.
A structured deep-dive into Prompt Engineering — covering core principles, prompting strategies, and practical implementations to optimize interactions with large language models (LLMs) for real-world applications.
Add a description, image, and links to the zero-shot-prompting topic page so that developers can more easily learn about it.
To associate your repository with the zero-shot-prompting topic, visit your repo's landing page and select "manage topics."