- No buyer workload, baseline run, accepted-task definition or private evaluation data was supplied.
- Search phrases come from the supplied strategy; their search volume and trend are not measured.
- The October 2026 clarification preprint needs full-method review and independent replication before investment reliance.
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.
- SFT Trainer — Hugging Face TRL documentation →huggingface.co
- Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps — Hugging Face, 3 September 2026 →huggingface.co
- A Small Model Asks Better: Fine-Tuning Query Clarification for Retrieval-Augmented Generation — He, Popa and Danilevsky, 19 October 2026 →arxiv.org
- Demystifying evals for AI agents — Anthropic, 9 January 2026 →www.anthropic.com
- Pricing — Together AI, snapshot checked 26 October 2026 →www.together.ai
- Llama 3.3 Community License Agreement — Meta →github.com
- A Field Guide to Rapidly Improving AI Products — Hamel Husain →hamel.dev
- Guidance on HIPAA & Cloud Computing — HHS Office for Civil Rights →www.hhs.gov
- QLoRA: Efficient Finetuning of Quantized LLMs — Dettmers et al., 23 May 2023 →arxiv.org
- LoRA Learns Less and Forgets Less — Biderman et al., revision 20 September 2024 →arxiv.org
- Extend — Extraction Overview →docs.extend.ai
- GroupKFold — scikit-learn documentation →scikit-learn.org
- TimeSeriesSplit — scikit-learn documentation →scikit-learn.org
- RouteLLM: Learning to Route LLMs with Preference Data — Ong et al., revision 23 February 2025 →arxiv.org
- The Open Source AI Definition 1.0 — Open Source Initiative →opensource.org