Key principles for creating an effective prompt

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., ... & Amodei, D. (2020). Language models are few-shot learners. arXiv preprint arXiv:2005.14165. 
Description: A scientific paper describing the architecture and capabilities of large-scale AI-based language models such as GPT.

OpenAI (2023). Prompt engineering guide. 
Description: A detailed and practical guide to designing effective prompts for AI models, with real-world examples.

Hernandez, D. & Brown, E. (2023). The art of prompt engineering with ChatGPT: Crafting effective prompts for better responses. Independently published. 
Description: A practical guide to creating clear and powerful prompts for better results in AI.

Mollick, E. & Mollick, L. (2023). How to use AI to do stuff: An opinionated guide. 
Description: Blog and guide emphasising the application of artificial intelligence tools in education and everyday work.

Marr, B. (2023). Generative AI in practice. Wiley. 
Description: An overview of the practical application of generative artificial intelligence in business and education.

Reynolds, L. & McDonell, K. (2021). Prompt programming for large language models: Beyond the few-shot paradigm. arXiv preprint arXiv:2102.07350. 
Description: Research paper on advanced prompt design techniques for better results with large-scale artificial intelligence models.

Liu, P., Yuan, W., Fu, J., Jiang, Z., Hayashi, H., & Neubig, G. (2023). Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing. ACM Computing Surveys, 55(9), Article 176.
Description: A comprehensive overview of various prompting methods in artificial intelligence-based natural language processing.

OpenAI (2023). Best practices for prompt engineering with GPT models. 
Description: The latest tips and recommendations for working with GPT artificial intelligence models.