End-to-end SFT dataset construction: collection, labeling, cleaning, dedup, contamination check for intent classification for voice assistant.
End-to-end SFT dataset construction: collection, labeling, cleaning, dedup, contamination check for intent classification for voice assistant.
End-to-end SFT dataset construction: collection, labeling, cleaning, dedup, contamination check for intent classification for voice assistant.
End-to-end SFT dataset construction: collection, labeling, cleaning, dedup, contamination check for intent classification for voice assistant.
End-to-end SFT dataset construction: collection, labeling, cleaning, dedup, contamination check for intent classification for voice assistant.
End-to-end SFT dataset construction: collection, labeling, cleaning, dedup, contamination check for intent classification for voice assistant.
End-to-end SFT dataset construction: collection, labeling, cleaning, dedup, contamination check for intent classification for voice assistant.
End-to-end SFT dataset construction: collection, labeling, cleaning, dedup, contamination check for intent classification for voice assistant.
Generate high-quality DPO preference pairs for JSON-mode function calling using Claude Sonnet 4.5 with a robust chosen/rejected protocol.
Generate high-quality DPO preference pairs for helpful assistant chat using Claude Sonnet 4.5 with a robust chosen/rejected protocol.
Generate high-quality DPO preference pairs for tool-use agent using Claude Opus 4.5 with a robust chosen/rejected protocol.
Generate high-quality DPO preference pairs for code generation using GPT-4.1 with a robust chosen/rejected protocol.