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Frontier Development research deskSection 06 · Page 17 of 17Last 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. QLoRA: Efficient Finetuning of Quantized LLMs — Dettmers et al., 23 May 2023 →arxiv.org
  2. A Field Guide to Rapidly Improving AI Products — Hamel Husain →hamel.dev
  3. Why AI Compute Comes in Rectangles — Erik Bernhardsson, Latent Space, 22 October 2026 →latent.space
  4. SB26-189 Automated Decision-Making Technology — Colorado General Assembly →leg.colorado.gov
  5. Demystifying evals for AI agents — Anthropic, 9 January 2026 →www.anthropic.com
  6. LoRA Learns Less and Forgets Less — Biderman et al., revision 20 September 2024 →arxiv.org
  7. The Inference Engineering Masterclass — Philip Kiely and Ali Taha, Latent Space, 3 August 2026 →latent.space
  8. GroupKFold — scikit-learn documentation →scikit-learn.org
  9. RouteLLM: Learning to Route LLMs with Preference Data — Ong et al., revision 23 February 2025 →arxiv.org
  10. Llama 3.3 Community License Agreement — Meta →github.com