标题为英语Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks
High quality synthetic data is central to post training LLMs for adaptive AI applications that represent the diverse expert strategies and decisions in conversations. Prompting LLMs directly or conditioning them on end use scenarios yields low diversity data that collapses onto…
AI 摘要：要点
- High quality synthetic data is central to post training LLMs for adaptive AI applications that represent the diverse expert strategies and decisions in conversations
- Prompting LLMs directly or conditioning them on end use scenarios yields low diversity data that collapses onto…
Beyond Mode Collapse: Generating Diverse Synthetic Expert Conversations via Generative Flow Networks
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