- No interviews, approved quotations, availability checks or conflict disclosures have been obtained.
- Current affiliations should be reconfirmed before introductions; relevance here rests on cited work.
- A legal contributor must be selected for the actual jurisdictions and data/use case.
Gaps for the next pass
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.
- QLoRA: Efficient Finetuning of Quantized LLMs — Dettmers et al., 23 May 2023 →arxiv.org
- A Field Guide to Rapidly Improving AI Products — Hamel Husain →hamel.dev
- Why AI Compute Comes in Rectangles — Erik Bernhardsson, Latent Space, 22 October 2026 →latent.space
- SB26-189 Automated Decision-Making Technology — Colorado General Assembly →leg.colorado.gov
- Demystifying evals for AI agents — Anthropic, 9 January 2026 →www.anthropic.com
- LoRA Learns Less and Forgets Less — Biderman et al., revision 20 September 2024 →arxiv.org
- The Inference Engineering Masterclass — Philip Kiely and Ali Taha, Latent Space, 3 August 2026 →latent.space
- GroupKFold — scikit-learn documentation →scikit-learn.org
- RouteLLM: Learning to Route LLMs with Preference Data — Ong et al., revision 23 February 2025 →arxiv.org
- Llama 3.3 Community License Agreement — Meta →github.com