elchiapp

8 ms·

1. 1.▲
   by elchiapp 5mo ago

   Bare worklet with IPC, exactly. Let me know if there's anything I can help with.
2. 2.▲
   by elchiapp 5mo ago

   Curious to hear what constraints are there that aren't tackled by the current offering of local runtimes/SDKs for inference.
3. 3.▲
   by elchiapp 5mo ago

   You can build anything! Check out our tutorials here: https://docs.qvac.tether.io/sdk/tutorials/ Although an LLM chat is the starting point for many, there are many other use cases. We had people build domotics sy
4. 4.▲
   by elchiapp 5mo ago

   Hey folks, I'm part of the QVAC team. Happy to answer any questions!
5. 5.▲
   by elchiapp 5mo ago

   That line means that you don't need to create an account and get an API key from a provider (i.e. "asking for permission") to run inference. The main advantage is precisely that local AI runs on your terms, including how data
6. 6.▲
   by elchiapp 1y ago

   How is that different from choosing not to adopt a technology because it’s not widely used therefore not widely documented? It’s the timeless mantra of “use boring tech” that seems to resurface every once in a while. It’s all about the goal
7. 7.▲
   by elchiapp 1y ago

   Has anyone tried emulating linux/amd64 on Silicon with GPU support? I'm testing an engine to run LLMs locally that only runs on that, no support for arm.