Shakespeare LoRA as a signal-density case study
00:11:49 / mXAJgE2G87Q
Concrete public-domain text example for how a small corpus can produce many derived training records.
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Shakespeare LoRA as a signal-density case study
Concrete public-domain text example for how a small corpus can produce many derived training records.
Figure 1.The Shakespeare LoRA case is a text-side meaning-compression story with explicit verification scope.
Figure description
The figure shows a small public-domain Shakespeare corpus on the left and derived training records on the right. It frames the case as evidence that structured labels can be materialized from fixed real text while keeping the source data grounded.
Related publications
preprint / April 2026
Teleological Constellation Training: Multi-Modal Embedding Decomposition as Meaning Compression for Identity-Locked Generation and a Third Path Around the Data Wall
Primary framework preprint for DDA, meaning compression, TCT, and panel-relative generation guards.
DOI 10.13140/RG.2.2.24370.57288
- Preprint status; not peer reviewed.
- Pairwise mutual-information audit remains pending.
Sources
- ../docs2/leapableai_youtube_transcripts.md
- paper-tct-2026