imaginaryspaces

6 ms·

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by imaginaryspaces 2y ago
Fair enough! Thats a good point :)
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by imaginaryspaces 2y ago
Thanks!
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by imaginaryspaces 2y ago
Perhaps, shall check with him! But this is only one example, there’s a lot of other places as well. In case you’re interested to see more the project we’re working on is https://github.com/plexe-ai/smolmodels
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by imaginaryspaces 2y ago
No, he’s from a Python background :)
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by imaginaryspaces 2y ago
Good point! The initial 60% of the code was thought out but with time passing, the urge to launch quicker became more important leading:)
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by imaginaryspaces 2y ago
You caught me trying to escape some embarrassment. Here's an example: To set some context: The code handles isolated execution of machine learning code. Original version: def run_code(code, timeout=3600): try:
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by imaginaryspaces 2y ago
Unfortunately the old version is long gone now but I can show you the current version :)
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by imaginaryspaces 2y ago
Thank you! There’s absolutely no reason for me to rant since we have a solid foundation to build on now :)
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My Co-Founder threw away 90% of the code I wrote
21 points by imaginaryspaces 2y ago|17 comments
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by imaginaryspaces 2y ago
As of now (v0.4.0), the library expects a structured/tabular input (think pandas DataFrame). So you could use it for things like transaction data, insurance records, anything that fits in a "table". However, the concept gener
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by imaginaryspaces 2y ago
Thanks!
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by imaginaryspaces 2y ago
Not yet, though we plan to add that feature soon-ish! As of 0.4.0, with this tool you can use LLMs to build non-LLM models for your ML use cases. For example: you have an ecommerce site and want to rank relevant products for your users. You
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Show HN: Smolmodels – open-source tool to build ML models using natural language(github.com)
37 points by imaginaryspaces 2y ago|8 comments