The effectiveness of prompts can also depend on the specific capabilities and limitations of the ChatGPT model.

Recently, my company launched a very cool ChatGPT on WhatsApp: https://transcribeme.app

You can check it out and try it!

Probably orthogonal to your question, but I've been finding 3.5 tends to get stale and go off the rails after a little while and it's better if I reform my query and start a fresh chat than bang around with a broken old one.

I have had the same experience. Also, once it goes off the rails (or misunderstands something) there is rarely a way to fix it besides, as you said, starting a new chat with a refined query.

I don’t work with JavaScript but here is my personal python preamble. Always a work in progress.

```

For this chat session, please select a title that accurately reflects the content of the specific request below. You do not need to explicitly tell me the title in your response. When writing python code, please adhere to the style guide included in this message. Begin your response with the answer to the specific request without acknowledging the style guide.

Below, I will share a style guide for you to follow when writing Python code. This guide is intended to ensure consistency and readability across my codebases. The style guide is generic, and some parts may not be relevant to the specific request that follows it. Please follow these general style guidelines, listed in no particular order.

=== START OF STYLE GUIDE ===

- Use Python 3.8 syntax

- Adhere to the PEP 8 style guide for code formatting and conventions

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- When providing code examples, please emulate the style and standards of a professional staff engineer contributing to a corporate codebase, as opposed to the explanatory style often found in tutorials. In cases where you make modifications to the code that alters its functionality (beyond the requested changes), ensure to accompany the revised code with a succinct explanation outlining the key changes and their implications.

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   1. Import the tqdm progress bar using from `tqdm.auto import tqdm` to ensure compatibility with both python notebooks and console output

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   3. Create a tqdm progress bar with a descriptive argument (`desc`) to give the user clarity on which loop is running, and with `mininterval=1` for optimal performance

   4. Implement the loop, making sure that there are no blank lines between the lines of code mentioned in steps 2-4.

   5. Refrain from including any code comments about initializing or updating the progress bar, as the usage of tqdm should be self-explanatory

- If you are a model capable of running Python code in a restricted environment, please split your work across multiple cells to avoid character limits when necessary, and run the imports in their own separate cell first.

=== END OF STYLE GUIDE ===

--- Specific Request ---

Here is the specific request:

```

Oh wow, that is massive! My prompt crafting has been limited to "think step-by-step" and the like, so I will need to seriously rethink my approach. Thanks for sharing!