Draft:Chatgpt prompts
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Last edited by Waderitter144 (talk | contribs) 24 days ago. (Update) |
ChatGPT Prompts
ChatGPT prompts are textual inputs designed to elicit responses from the ChatGPT language model, developed by OpenAI. These prompts can range from simple questions to complex scenarios and are used across various applications, including education, content creation, and entertainment. Effective prompts help users obtain more relevant and informative responses, enhancing the overall interaction with the AI.
The structure of a good prompt typically includes clarity, specificity, and context, allowing the model to generate accurate and context-aware outputs. Users often experiment with different phrasing to optimize results, a practice known as "prompt engineering." This technique has gained traction among developers, educators, and writers who aim to maximize the utility of AI tools.
ChatGPT prompts have been utilized in diverse fields, including programming, creative writing, and customer service. Educators employ them for instructional purposes, while content creators leverage them for brainstorming ideas. Additionally, businesses use prompts to streamline customer interactions through chatbots.
As AI technology evolves, the understanding and development of effective prompts continue to be a focal point in harnessing the potential of conversational AI.
For more information click on the link below
References
[edit]1. OpenAI. (2023). "ChatGPT: The Language Model." [OpenAI Website](https://openai.com/chatgpt).
2. Brown, T. B., et al. (2020). "Language Models are Few-Shot Learners." [arXiv](https://arxiv.org/abs/2005.14165).
3. Radford, A., et al. (2019). "Language Models are Unsupervised Multitask Learners." [OpenAI](https://openai.com/research/language-unsupervised).
4. Kwiatkowski, T., et al. (2019). "Natural Questions: A Benchmark for Question Answering Research." [arXiv](https://arxiv.org/abs/1901.10082).
5. Zhang, Y., et al. (2020). "Pre-trained Transformers as Universal Computation Engines." [arXiv](https://arxiv.org/abs/2002.08360).
6. Hwang, T., et al. (2020). "AI for Content Creation: A Review." [arXiv](https://arxiv.org/abs/2009.01312).
7. Fadly, S., & Kamil, K. (2021). "Prompt Engineering for Chatbots." [Journal of AI Research](https://www.jair.org/index.php/jair/article/view/12542).
8. Al-Rfou, R., et al. (2019). "Character-Level Language Modeling with Deep Bidirectional LSTMs." [arXiv](https://arxiv.org/abs/1903.11280).
9. Liu, P. J., et al. (2020). "How to Ask Questions to Your AI." [AI Ethics Journal](https://www.aiethicsjournal.org/2020/03/how-to-ask-questions-to-your-ai).
10. Ouyang, L., et al. (2022). "Training Language Models to Follow Instructions with Human Feedback." [arXiv](https://arxiv.org/abs/2203.02155).