leroman

10 ms·

1.
Show HN: TUI wrapper for cargo-nextest, Clap-powered xtasks, and more(github.com)
2 points by leroman 2mo ago|0 comments
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Show HN: TUI wrapper for cargo-nextest, Clap-powered xtasks, and more(github.com)
1 points by leroman 2mo ago|0 comments
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by leroman 3mo ago
The token-economics for closed source models are different, they are optimizing for 200 USD tokens worth of software engineer monthly usage, they will increase per token price as models or harnesses are more optimized.
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Show HN: Sandbox AI-app lifecycle, from build to run(capakit.com)
6 points by leroman 3mo ago|1 comments
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by leroman 9mo ago
Interesting, thanks!
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by leroman 9mo ago
What model are you working with where you still get good results at 25k? To your q, I make huge effort in making my prompts as small as possible (to get the best quality output), I go as far as removing imports from source files, writing i
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by leroman 9mo ago
The biggest challenge an agent will face with tasks like these is the diminishing quality in relation to the size of the input, specifically I find input of above say 10k tokens dramatically reduced quality of generated output. This specifi
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Show HN: Prompt Engineering Templating Language and CLI Tool(github.com)
2 points by leroman 1y ago|0 comments
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Freddie Mercury's Religion(theconversation.com)
7 points by leroman 1y ago|2 comments
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by leroman 1y ago
Cool idea! but kind of wasteful.. I just feel wrong if I waste energy.. At least you could first turn it into markdown with a library that preserves semantic web structures (I authored this- https://github.com/romansky&#x2F
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Export your Skype data before the May shutdown(secure.skype.com)
1 points by leroman 2y ago|0 comments
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Andrej Karpathy: Deep Dive into LLMs Like ChatGPT [video](youtube.com)
582 points by leroman 2y ago|46 comments
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Show HN: LLM Templating – import files into prompt(github.com)
3 points by leroman 2y ago|0 comments
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by leroman 2y ago
The title was so confusing to me, the reason I opened the link was to understand how you made the SSH tunnel manager learn the GO programming language
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Show HN: LLM Prompting Templating(github.com)
2 points by leroman 2y ago|0 comments
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Show HN: LLM Prompting Templates for Files / Source-Code(github.com)
2 points by leroman 2y ago|0 comments
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by leroman 2y ago
It's hilarious they put Claude 3.5 Sonnet in the far right corner while it scores the highest and beats most of Grok's numbers.
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Show HN: Copy Folder Contents for Easy Prompting(github.com)
4 points by leroman 2y ago|0 comments
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by leroman 2y ago
Thanks for sharing!! Would be really helpful if you opened an issue in Github with a specific example, happy to look into that!
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by leroman 2y ago
This is now supported, see here- https://github.com/romansky/dom-to-semantic-markdown?tab=rea...
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by leroman 2y ago
Bumped this together with the side-by-side comparison task.. so will look into it :)
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by leroman 2y ago
This is some great feedback, thanks! 1. there some crazy links with lots of arguments and tracking stuff in them, so it gets very long, the refification turns them into a numbered "ref[n]" scheme, where you also get a map of ref[n
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by leroman 2y ago
Ah, I suppose you mean a web page one could visit to see a demo :) Added to the backlog!
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by leroman 2y ago
This totally makes sense, I will look into adding support for additional ways to detect the main content, super interesting!
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by leroman 2y ago
By all means, you can be the first contributor :) You are welcome to either open an issue and brain storm together on possible approaches or send me a pull request with what you came up with and we start there
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by leroman 2y ago
After removing the noise you can distill the semantic stuff where ever possible, like meta-deta from images, buttons, etc, and see some structures emerge like footers and nav and body.. And many times for the sake of SEO and accessibility,
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by leroman 2y ago
Afraid to say that other than bumping into a talk about Deno, I haven’t played around with it yet.. So thanks for the heads up, will look into it. Thanks for the bug report !
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by leroman 2y ago
Please see here- https://github.com/romansky/dom-to-semantic-markdown/blob/ma...
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by leroman 2y ago
Thank you! this is exactly why there's support for this specific use case- https://github.com/romansky/dom-to-semantic-markdown/blob/ma... (see `findContentByScoring`) And if you pass an optional flag `e
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by leroman 2y ago
You might find this useful- just added code & instructions on how to make it a global CLI utility- https://github.com/romansky/dom-to-semantic-markdown/blob/ma...

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