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Frontier Development research deskSection 01 · Page 14 of 14Last updated 26 October 2026

Evidence boundary: This is desk research and a proposed decision method, not a test of the buyer’s model or an endorsement. Published findings, supplier descriptions and proposed actions are distinguished in the text. Missing private data, quotes and contract terms remain unknown.

TRACE THE EVIDENCE

Sources cited on this page

  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