label studio
Open source data labeling tool
Episodes
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#6130: Picking a Human Labeling Tool for LLM BenchmarksBuilding a human review layer for LLM benchmarks? Here's what Argilla, Label Studio, Prodigy, and Potato actually cost in money and maintenance. -
#5944: Keeping the Rollout Engine Fed: Inside RLHF PipelinesMost of an RLHF run is spent waiting on generation, not gradients. Here's how TRL, OpenRLHF, and verl actually differ. -
#5936: Training a Model When You Don't Know the Labels YetDaniel wants to extract adapter specs from his shelf — but he can't name the labels until he's already annotating. -
#5245: Training a Model on 100 Phone PhotosOne drawer of screws, a hundred phone photos, and a schema. When does a small custom model beat a fine-tuned VLM? -
#2196: The Invisible Workforce Behind AIAnnotation is the invisible foundation of AI—and a $17B industry by 2030. Here's what dataset curators actually need to know about the tools, platf... -
#1882: The Hidden Human Labor Behind AIAI isn't free—it costs billions for humans to label data. See why annotation is the real engine behind models like Gemini. -
#758: When Your Camera Stops Being DumbTurn passive cameras into active observers. Learn how Frigate and YOLO models use AI to revolutionize home security and object detection.