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A groundbreaking new study from computer vision startup Voxel51 suggests that the traditional data annotation model is about to be upended. In research released today, the company reports that its new auto-labeling system achieves up to 95% of human-level accuracy while being 5,000x faster and up to 100,000x cheaper than manual labeling. The study benchmarked […]
The post Voxel51’s New Auto-Labeling Tech Promises to Slash Annotation Costs by 100,000x appeared first on Unite.AI.
<p>As LLMs have continued to improve, there has been some discussion in the industry about the continued need for standalone data labeling tools, as LLMs are increasingly able to work with all t [...]
<p>Despite growing chatter about a future when much human work is automated by AI, one of the ironies of this current tech boom is how stubbornly reliant on human beings it remains, specifically [...]