
Imagine if your robot’s “eyes” were only right 85% of the time.
Imagine if every time a human hand reached into a dark shelf or pinched a small component, the robot’s vision system simply guessed where the fingers went. This is the
Booth 21-25 | AI Data Management Zone | Tokyo Big Sight

Imagine if every time a human hand reached into a dark shelf or pinched a small component, the robot’s vision system simply guessed where the fingers went. This is the

A practical post. The GitHub repo LLM4Annotation (Zhen-Tan-dmml/LLM4Annotation) is a curated, updated list of papers and tools at the intersection of LLMs and data annotation. If you work in this space, it’s worth bookmarking. What’s in it: The reason it’s worth following — beyond the obvious “saves you a few
