i want to get the result of "echo $?" but got [?2004h
时间: 2024-06-05 16:06:48 浏览: 17
It seems like you have accidentally entered some special characters in your command line. The "[?2004h" part is likely a terminal control sequence that got mixed up with your command.
To fix this, you can try running the command again and make sure to only enter the necessary characters. Alternatively, you can try clearing the terminal screen by pressing "Ctrl + L" and then running the command again.
Once you have run the command successfully, you should be able to get the result of "echo $?" by simply typing "echo $?" in the terminal.
相关问题
if the readers want to know the result of the paper quickly, which part can
如果读者想迅速了解论文的结果,他们可以阅读论文的摘要部分。论文摘要是对整篇论文的简洁概述,通常包括研究目的、方法、主要发现和结论等要点。通过阅读摘要,读者能够迅速了解论文的核心内容和研究结果,帮助他们决定是否进一步阅读全文。摘要通常是论文的开篇部分,精炼明了,能够为读者提供论文的总体观念。
另外,读者还可以查看论文的结论部分。结论是论文的重要组成部分,它对整个研究进行总结并提出研究结果的解释和实际应用的建议。结论通常是论文末尾的一个段落或小节,读者可以从中直接获得研究结果的要点,而不必全文细读。
除了阅读摘要和结论,读者还可以查看论文的图表和图表标题,特别是结果展示部分。图表通常以直观的方式呈现数据和结果,读者可以通过快速浏览图表了解研究结果。
总之,摘要、结论以及图表都是读者快速了解论文结果的关键部分。通过阅读这些部分,读者可以在短时间内获取论文的主要结果和发现,有助于他们快速了解、引用或延伸研究。
i want to know how to get the methods to use chatgpt
As an AI language model, I don't have a specific answer to your question. However, here are some general steps to help you get started with using the chatGPT:
1. Familiarize yourself with the chatGPT model and how it works. You can find more information on the chatGPT model by doing a quick search online.
2. Choose a platform or framework to use to implement the chatGPT model. Popular platforms/frameworks for implementing machine learning models include TensorFlow, PyTorch, and Keras.
3. Obtain the necessary data to train the chatGPT model. You can either use existing chat data or collect your own data.
4. Preprocess the data to prepare it for training. This includes cleaning the data, tokenizing it, and splitting it into training and validation sets.
5. Train the chatGPT model using the preprocessed data. This will involve configuring the model and running it on the training data.
6. Test the chatGPT model to ensure that it is functioning correctly. This can be done by using a separate set of test data or by manually testing the model's responses.
7. Deploy the chatGPT model to your desired platform or framework. This will allow you to use the model to chat with users.
Remember to continuously monitor and evaluate the chatGPT model's performance and make improvements as needed.
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