romerocruzsa

4 ms·

1. 1.▲
   How are people treating/deploying on-device AI?(minimal-light-theme.yliu.me)

   1 points by romerocruzsa 6mo ago|1 comments
2. 2.▲
   by romerocruzsa 6mo ago

   So, I've been working on Edge AI/TinyML for over a year now and been amazed with how much progress the field has matured towards deploying intelligence that is operational in low-power hardware... or so I thought. On-device or Edg
3. 3.▲
   by romerocruzsa 6mo ago

   I mean I get you but, I also know that there are better ways to operationalize local AI. Your POV still remains as super helpful context. I feel like a lot of local-vs-cloud discussion stops at “slower and worse,” but the useful part is und
4. 4.▲
   by romerocruzsa 6mo ago

   The software moat only really holds if you can explain regressions or drifts across fleet updates. How are you tracing what changed when compression a model, you manage runtime versions, and/or have variable on-robot conditions that al