Editorial self-assessment

Section source library

This page contains no direct external citations. These are the section’s references; they do not independently validate the desk’s proposed scoring or methods.

1. SFT Trainer — Hugging Face TRL documentation →huggingface.co
2. Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps — Hugging Face, 3 September 2026 →huggingface.co
3. A Small Model Asks Better: Fine-Tuning Query Clarification for Retrieval-Augmented Generation — He, Popa and Danilevsky, 19 October 2026 →arxiv.org
4. Demystifying evals for AI agents — Anthropic, 9 January 2026 →www.anthropic.com
5. Pricing — Together AI, snapshot checked 26 October 2026 →www.together.ai
6. Llama 3.3 Community License Agreement — Meta →github.com
7. A Field Guide to Rapidly Improving AI Products — Hamel Husain →hamel.dev
8. Guidance on HIPAA & Cloud Computing — HHS Office for Civil Rights →www.hhs.gov
9. QLoRA: Efficient Finetuning of Quantized LLMs — Dettmers et al., 23 May 2023 →arxiv.org
10. LoRA Learns Less and Forgets Less — Biderman et al., revision 20 September 2024 →arxiv.org
11. Extend — Extraction Overview →docs.extend.ai
12. GroupKFold — scikit-learn documentation →scikit-learn.org
13. TimeSeriesSplit — scikit-learn documentation →scikit-learn.org
14. RouteLLM: Learning to Route LLMs with Preference Data — Ong et al., revision 23 February 2025 →arxiv.org
15. The Open Source AI Definition 1.0 — Open Source Initiative →opensource.org