Just did a similar experiment but outside the harry potter universe to remove the training bias. It worked well!
> ChatGPT: "Generate a two page short story like harry potter, but don´t mention anyting harry potter related. make up 4 unique spells in the story that are used"
For me, the main appeal to MATLAB was the REPL experience, allowing me to experiment with ideas and inspect results in the UI. Python notebook have bridged the gap a bit, but always require a combination of libraries (with different docs & design choices) to write a single script.
Yup, for both Matlab and Maple the big feature was the Jupyter notebook experience right out the box. On top of that, at the time it had a pretty high number of math functions implemented.
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How it works
1. Takes the last command from your bash history
2. Reruns it to capture the output
3. Gives this info to `llm cmd` to get a suggestion
4. Show the suggestion to the user!
Basically a quicker feedback loop instead of looking up params & typos on google.
Indeed, I’m just piping FiveThirthyEight > facts > LLM. And what the LLM makes of that is what you’re seeing, I tried to brief it as dry as possible in the prompt!
This was one of the hard parts of making this. I think I discarded about 70% of all generated images, and I was aware that the remaining 30% was still borderline sometimes.
Usage: `~ my-bash-command; notify`
`.wav` snippet: https://gitlab.com/NeroVanbiervliet/linux-config/-/blob/mast...
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