dibrale

3 ms·

1. 1.▲
   by dibrale 1y ago

   I prize local execution for confidentiality and trust reasons, but this mindset seems to put me in a distinct minority. I've just accepted that I will end up having to build my own solutions from time to time. That said, 'local&#x
2. 2.▲
   Show HN: I simulated the human Default Mode Network using Regions(github.com)

   3 points by dibrale 1y ago|0 comments
3. 3.▲
   Show HN: I used the Regions repo to critique its own README.md(github.com)

   2 points by dibrale 1y ago|0 comments
4. 4.▲
   Regions: A Local-First Agentic Framework(github.com)

   2 points by dibrale 1y ago|1 comments
5. 5.▲
   by dibrale 1y ago

   Existing agentic LLM frameworks didn't quite give me the mix of parallelization, modularity and control I wanted, so I decided to write my own. The structure I came up with is good for having many small LLM runners and more determinist
6. 6.▲
   Show HN: Free GUI for image segmentation using Sam by Meta(github.com)

   1 points by dibrale 3y ago|0 comments
7. 7.▲
   by dibrale 3y ago

   If I recall correctly, the difference between the SAM models is just a parameter number versus accuracy tradeoff. I have the parameter numbers listed under 'Installation', but the relative quality of the models would be task-depen
8. 8.▲
   by dibrale 3y ago

   I made a UI for Meta's SAM that works very well for background removal: https://github.com/dibrale/samist It runs from a python script.