Design thinking for our zero-code edge AI platform
tinyverse.substack.com
We started our journey building portable machine learning containers for edge devices. In the beginning, it was a command line interface. We got far with this, including having our first hackathon on using CLI tools for building on-device ML. We realized to bring the next million developers to build on-device machine learning, we had to build tools that every engineer could understand and learn quickly. On-device ML requires mastery over three (somewhat) disjoint domains:
Design thinking for our zero-code edge AI platform
Design thinking for our zero-code edge AI…
Design thinking for our zero-code edge AI platform
We started our journey building portable machine learning containers for edge devices. In the beginning, it was a command line interface. We got far with this, including having our first hackathon on using CLI tools for building on-device ML. We realized to bring the next million developers to build on-device machine learning, we had to build tools that every engineer could understand and learn quickly. On-device ML requires mastery over three (somewhat) disjoint domains: