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* docs: comprehensive documentation improvements for humans and agents New human docs: - grpo.qmd: GRPO deep dive (async, rewards, IS correction, scaling) - ebft.qmd: EBFT guide (structured/strided modes, feature extraction) - choosing_method.qmd: decision tree for SFT vs LoRA vs DPO vs GRPO - vllm_serving.qmd: vLLM setup for GRPO (server/colocate, LoRA sync) - training_stability.qmd: monitoring, NaN debugging, OOM, healthy metrics New agent docs: - AGENTS_SFT.md: agent reference for supervised fine-tuning - AGENTS_DPO.md: agent reference for preference learning (DPO/KTO/ORPO) Updated existing docs: - rlhf.qmd: cross-references to new GRPO/EBFT/choosing-method guides - getting-started.qmd: reorganized Next Steps with links to new guides - debugging.qmd: link to training stability guide - _quarto.yml: added new pages to sidebar navigation Removed: - bak.agents.md: stale backup that confused agents * docs: trim duplicated generic config from AGENTS_DPO.md Remove boilerplate training params (optimizer, gradient_checkpointing, flash_attention, etc.) from each method template. These are not preference-learning-specific and are already covered in AGENTS_SFT.md. Config templates now show only method-specific fields with a reference to AGENTS_SFT.md for the rest. * docs: deduplicate across new doc pages - grpo.qmd: collapse vLLM setup section to brief config + link to vllm_serving.qmd; collapse IS correction to essentials + link; replace full monitoring tables with summary + link to training_stability.qmd - vllm_serving.qmd: remove duplicated async/IS config reference tables (already in grpo.qmd config reference); replace full example config with link to grpo.qmd quick start - ebft.qmd: trim generic training params in quick start config * fix: train scripts * feat: split files into cleaner parts * fix: cleanup pretraining docs --------- Co-authored-by: Wing Lian <wing.lian@gmail.com>
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390 B
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13 lines
390 B
Plaintext
---
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title: Pre-training
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description: Data format for a pre-training completion task.
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order: 1
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---
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::: {.callout-note}
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Pre-training documentation has been consolidated:
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- **Streaming pretraining** (large datasets): See [Streaming Datasets](../streaming.qmd#pretraining-with-streaming)
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- **Non-streaming pretraining** (`type: completion`): See [Dataset Formats](index.qmd#pre-training)
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:::
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