75 Agent Examples for Training Data Generation
iamrobotbear · x · 2026-07-19
75 code examples have been open-sourced to demonstrate how labs can use agents to produce training data:
- Annotation, DPO jury, rejection sampling, step-level rewards
- Instruction generation, dataset curation, benchmark decontamination
- Also includes scenarios like image/audio/video/document classification and extraction, LLM-as-judge, quality review, and interaction consistency
The repository directory shown in the screenshot is highly detailed by task type, acting like an agent engineering cookbook for training data production.
More from coding & agent
- GitHub review bot hits its PR limit and forces a 39-minute cooldown — DanielLockyer · 2026-07-22
- Max reasoning effort appears to be mobile-only in Codex Remote, not desktop — GabGarrett · 2026-07-22
- A Reddit demo argues online stores should expose carts and pricing through MCP — gelembjuk · 2026-07-22
- Open-source AI SDK provider routes Vercel apps through a local Codex subscription — lgrammel · 2026-07-22
- Codex vs Claude Code: Which Is More Popular? — jxnlco · 2026-07-22
- CodeRabbit uses layers, diagrams and a chat agent to rethink code review — _jaydeepkarale · 2026-07-22