1. Introduce
Welcome to PromptPerfect(完美提示), a cutting-edge prompt optimizer designed for large language models (LLMs), large models (LMs) and LMOps.
Prompt engineering can be tough - a perfect prompt is the key for great AI-generated content. But don't worry, PromptPerfect has got you covered! Our cutting-edge tool streamlines prompt engineering, automatically optimizing your prompts for ChatGPT, GPT-3.5, DALL-E 2, StableDiffusion and MidJourney. Whether you're a prompt engineer, content creator, or AI developer, PromptPerfect makes prompt optimization easy and accessible. With its intuitive interface and powerful features, PromptPerfect unlocks the full potential of LLMs and LMs, delivering top-quality results every time. Say goodbye to subpar AI-generated content and hello to prompt perfection with PromptPerfect!
https://promptperfect.jina.ai/
2. Models
- ChatGPT
AI language model by OpenAI, generates human-like text using deep learning techniques. It can perform a wide range of language tasks, such as language translation, text summarization, and question answering. - GPT 4
GPT-4 is the latest milestone in OpenAI's effort in scaling up deep learning. GPT-4 is a large multimodal model exhibits human-level performance on various professional and academic benchmarks. - GPT 3
AI language model by OpenAI, text-davinci-003, the third iteration of the GPT series. It generates high-quality natural language text using deep learning techniques. - DALL-E 2
AI image model by OpenAI, generates diverse and creative images from textual descriptions using attention mechanisms, autoregressive modeling, and contrastive learning. - Stable Diffusion
AI image model by Stability AI, uses diffusion models to generate images, edit images, and impute data with stable and robust performance. - MidJourney
AI image model by Midjourney, an independent research lab that creates images from textual descriptions. - Lexica
Lexica, or Lexica Aperture is a model that can generate realistic looking photographs. It gives stunning results on faces, portraits.
3. Examples
原始提示：
请告诉我以下陈述是否包含时代错误：在盟军轰炸硫磺岛海滩期间，拉尔夫大声地对着自己的 iPhone 说话。请告诉我以下陈述是否包含时代错误：在盟军轰炸硫磺岛海滩期间，拉尔夫大声地对着自己的 iPhone 说话。
原始回复：
是的，这个陈述包含时代错误。盟军轰炸硫磺岛海滩发生在1945年，而iPhone是在2007年首次发布的。所以，在那个时代是不可能有iPhone的。
优化后提示：
请检查以下陈述是否存在历史错误：在盟军轰炸硫磺岛海滩期间，拉尔夫大声地对着自己的 iPhone 说话。如果该陈述存在历史错误，请提供正确的时间背景和相关细节，并解释为什么这个错误是不准确的。请注意，您应该使用适当的语言和术语来描述时代和事件，以便清楚地传达信息。
优化后回复：
该陈述存在历史错误。盟军轰炸硫磺岛海滩发生在1945年二战期间，而iPhone是2007年才发布的。因此，在二战期间，拉尔夫不可能拥有或使用iPhone。此外，硫磺岛战役是美军同日本军队之间的一场激战，拉尔夫这个人物在这个历史事件中并没有特定的地位。
正确的时间背景和相关细节如下：硫磺岛战役（Battle of Iwo Jima）是1945年2月19日至3月26日发生在太平洋战场上的一场关键战役。美国海军陆战队试图从日本帝国占领的硫磺岛上夺取控制权，以便为即将进行的对日本本土进攻提供一个基地。尽管美军最终成功占领了硫磺岛建立了空军基地，但这场战役造成了约26000名美军士兵和近22000名日本士兵死亡或受伤。
总之，该陈述中提到的拉尔夫使用iPhone在二战期间显然是不准确的。
优化过程：
优化后的提示通过提供清晰简洁的任务来改进原始提示，要求用户识别所提供的语句中是否存在历史错误。它还强调了在描述时间段和事件时使用适当语言和术语的重要性。优化的提示提供了有关如何响应的具体指南，包括在存在错误时提供正确的详细信息并解释错误的原因。总的来说，优化的提示鼓励准确性和对细节的关注，同时仍然允许响应的灵活性。
4. Q&A
In the context of large language models (LLMs) or large models (LMs), a prompt refers to the starting point for generating text or other outputs. A prompt can be as simple as a sentence or a single word, or it can be a longer piece of text or a specific set of instructions.
PromptPerfect is a prompt optimization tool designed to enhance the quality of large language model and large model results. To use PromptPerfect, users input a prompt and customize various settings according to their needs. These settings include the maximum prompt length, the number of iterations to be optimized, and the quality of the output. After the settings are adjusted, PromptPerfect generates the optimized prompt in no time.
PromptPerfect supports a variety of large language models, including GPT3, ChatGPT, DALLE, StableDiffusion and MidJourney. We are continuously adding new AI models to it. In general, PromptPerfect can optimize prompts for any model that utilizes a language model for text generation and analysis.
PromptPerfect offers a streamlined and interactive way to optimize prompts for use with large language models. With features such as automatic prompt enrichment and customizable settings, PromptPerfect can help make prompt engineering more manageable and scientific, resulting in higher-quality and more relevant output generated by the models. By fine-tuning prompts for specific applications and use cases, users can enhance the performance of their large language models and achieve optimal results with less effort and time. With a user-friendly interface and intuitive features, PromptPerfect is an essential tool for anyone seeking to improve their prompt engineering and optimization processes.