FranciscoCarlos

3 ms·

1.
by FranciscoCarlos 25d ago
Using the vision feature feels so token bloated to me. I generally delegate that to a fresh context if possible.
2.
by FranciscoCarlos 25d ago
Models + harnesses are simply becoming too useful, it's a skill issue. Especially as new models incorporate knowledge about the harness and workflows on their training data/internal representations.
3.
by FranciscoCarlos 25d ago
With the rise of better and better edge inference and almost state-of-the-art open-weights models, I don't see this going well. Almost any additional latency makes talk-back less usable, so it's reasonable for it to move out of th
4.
by FranciscoCarlos 25d ago
Super cool dataset. Thank you very much. You just saved Hacker News, some bandwidth and server compute as well. Cool to see the trends go up and down as well. Do you have ideas on any additional dimensions it would be easy to explore as wel
5.
by FranciscoCarlos 25d ago
This is super interesting and potentially extremely useful as well. What is the performance improvements against doing it via API remoting or translating?
6.
by FranciscoCarlos 25d ago
I'd be super interested in knowing how other models perform by default and knowing the exact details of the prompts as well and seeing how two agents with different contexts or isolated contexts perform against one another, one as an i
7.
Train your own custom Tiny TTS model from scratch overnight on consumer hardware(github.com)
2 points by FranciscoCarlos 26d ago|0 comments
8.
Show HN: Local 3D LLM Sandbox a tiny assistant with an attitude(github.com)
1 points by FranciscoCarlos 27d ago|0 comments
9.
Local Multi-Agent Swarm: An ant farm for local LLM agents(github.com)
1 points by FranciscoCarlos 29d ago|0 comments
10.
Agent Voice Kit: Local talk with your Agents (whisper+supertonic)(github.com)
2 points by FranciscoCarlos 1mo ago|0 comments