View: Post-training experience unnecessary for generating useful training data
tokenbender · x · 2026-08-15
A discussion on data generation suggests that post-training experience may be irrelevant. The argument posits that a pass rate of just 0.2-0.6 is sufficient to effectively grind a task, implying high-quality synthetic data can be generated without relying on post-training experience.
More from Research
- Open-Source Project Replicates Full LLM Training Pipeline in Pure PyTorch — thisguyknowsai · 2026-08-15
- Inside Gemma 4 E2B: 5B Params Running Like 2.3B — dejanseo · 2026-08-15
- Nof1 Paper Explores AI Adaptation and Long-Horizon Optimization — jparkerholder · 2026-08-15
- Socratic training makes AI models less people-pleasing — AnnaCiaunica · 2026-08-15
- New Paper Asks: Could a Computer Scientist Build a Brain? — KordingLab · 2026-08-15
- ACML2026 Asia-Pacific Music Intelligence Workshop Opens Call for Papers — affige_yang · 2026-08-15