Apart from web technologies, just any daily thoughts or diaries. I doubt if I am ever going to use this category TBH 🙂

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Maybe it is just another pun, but wouldn't hurt to check out


Since ChatGPT was released, "Prompt engineering" is a hot topic these days. It can be a complex subject if you delve deep into it, and for some, it may sound like a pun, but I believe that it is obviously useful so no reason to hate it either. Here are some useful tips that I have summarised briefly.



Detailed context improves its responses. It is recommended to provide context information at the beginning of the conversation or after receiving a response to obtain the desired information.

 
ChatGPT can only remember up to 4096 tokens, so it is important to keep questions concise. You can use translation tools like Google Translate or Papago to translate your questions and answers.

 
You can assign roles to ChatGPT to get different answers. "act as" keywords allow you to give roles to ChatGPT, such as marketing experts, senior developers, and successful CEOs. Also you can assign your role as well. For example, you as a front-end engineer with 4 years of experience.


 🙂 https://github.com/f/awesome-chatgpt-prompts


Some parameters can actually change the response result that ChatGPT generates. Explanations were generated by ChatGPT, so if it is wrong blame him/her : -)

 A parameter that limits the selection of words to the top k most likely candidates at each step, leading to more coherent but potentially repetitive text. In front-end development, this could be used to generate pre-defined responses for a chatbot, limiting the number of possible responses to a few relevant ones.

: A parameter that controls the level of randomness in the output, balancing creativity and coherence. In front-end development, this could be used to generate product recommendations for an e-commerce website, allowing for some randomization while still ensuring the recommendations are relevant.

: A parameter that determines the maximum length of the generated text, preventing excessively long outputs. In front-end development, this could be used to generate summaries of articles or reviews, limiting the length of the summary to a specific number of characters.

: A parameter that controls the diversity of the output by encouraging the model to generate more diverse responses. In front-end development, this could be used to generate alternative product recommendations for users who have already seen a similar product, ensuring a wider range of options.

: A parameter that controls the number of candidate sequences the model considers at each step, allowing for faster generation with some sacrifice in quality. For example, in front-end development, this could be used to generate auto-completion suggestions for a search bar, limiting the number of suggestions to a few of the most likely ones.


Prompt driven engineering

Will ChatGPT will replace developers shortly?

Kyle Simpson, the author of "You don't know Javascript" said

Here's my theory (I mean it sincerely, not as an insult or sarcasm):

If you think your job as a software developer could/will be taken by an AI, then you're 

 the kind of software developer whose job could be taken by an AI.

If you think your job as a software developer will NEVER be taken by an AI, then you're 

 the kind of software developer whose job could be taken by an AI.

If you think your job as a software developer will likely have to change as a result of AI, then you're probably secure in your job as a software developer.

I completely agree with this post. To me, it seems to be more about attitude and perspective than knowledge, skills, or talent. When the automobile was invented, carriage drivers had to learn how to drive, rather than ignore the changes.

With the development of web frameworks and ecosystems, things seem to be getting more complicated, even though many of these inventions were created to make developers' lives better. Modern web developers may not need to deal with memory management or vanilla DOM, but they now have to deal with multiple layers of solutions.

AI will make many of our previous processes redundant, but it will also bring new opportunities. We simply need to adjust and learn how to move forward with AI.

Will ChatGPT replace developers?

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Prompt driven engineering

Will ChatGPT replace developers?

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