StepFun open-sources onPanda for token-level LLM annotation and inspection
Original titleWe’ve open-sourced onPanda 🐼 — the tool we use internally for LLM data annotation and model inspection.
AISummary
StepFun has open-sourced onPanda, a tool used internally for LLM data annotation and model inspection, letting users correct tokens and let models continue.
The company reports a 52% lower median annotation time versus manual post-editing, with SFT and preference data combined in one workflow.
It also supports token probability and top-k inspection, token-by-token decoding control, and browser-based testing across SVG generation, web development, and agent tasks.
Source: StepFun · x.comPublished · added here