tutorialAngestrom AcademyTrust 60Published 1mo agoLive · 3mo ago
Fine-tune a small model on your own data
A practical guide to LoRA fine-tuning end to end.
A practical guide to LoRA fine-tuning end to end. A practical guide to LoRA fine-tuning end to end.
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- LinkedLinked via unknownBeyond LoRA: Can you beat the most popular fine-tuning technique? →
- LinkedLinked via unknownFine-tuning →
- LinkedLinked via unknownI built a tool to turn your Claude Code sessions into fine-tuning data for local models →
- LinkedLinked via unknownInstead of decentralized training effort we should build the “One dataset” →
- LinkedLinked via unknownFine-tune Amazon Nova models for accurate email data extraction →
- PossiblePossibly related (embedding) · 53%hiyouga/LlamaFactory →
- PossiblePossibly related (embedding) · 50%Competence Gate: gating tool-use on a small model's internal confidence signal instead of its verbalised one — Qwen3.5-4B, open weights [P] →
- PossiblePossibly related (embedding) · 49%Yog-Sotho/LLM-fine-tuner →
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newsBeyond LoRA: Can you beat the most popular fine-tuning technique?newsI built a tool to turn your Claude Code sessions into fine-tuning data for local modelsnewsInstead of decentralized training effort we should build the “One dataset”newsFine-tune Amazon Nova models for accurate email data extractionnewsCompetence Gate: gating tool-use on a small model's internal confidence signal instead of its verbalised one — Qwen3.5-4B, open weights [P]
Related to (incoming)
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Related across the graph
glossary_termFine-tuningreporiyanshibohra/TuneKitnewsBeyond LoRA: Can you beat the most popular fine-tuning technique?newsCompetence Gate: gating tool-use on a small model's internal confidence signal instead of its verbalised one — Qwen3.5-4B, open weights [P]repoSaivineeth147/lora-speedrunnewsFine-tune Amazon Nova models for accurate email data extractionpaperA Systematic Evaluation of Trajectory Data Curation for LoRA Fine-Tuning of Code AgentsrepoYog-Sotho/LLM-fine-tunernewsInstead of decentralized training effort we should build the “One dataset”newsI built a tool to turn your Claude Code sessions into fine-tuning data for local modelsrepohiyouga/LlamaFactory
