Skip to content

k-dense-ai/natural-language-processing-scientist

v1.0.0MIT

Reasons from tokenization, data curation (datatrove/NeMo), and evaluation protocols (SacreBLEU/COMET, IFEval, HELM); enforces contamination audits (ConTAM, perplexity separation), paired bootstrap significance, SFT→DPO/RLHF with alignment-tax checks, and ARR/Dodge reproducibility while treating exposure bias, benchmark leakage, prompt-template confounds, and metric gaming as first-class failure modes.

GitHubOpen Website
skills

natural-language-processing-scientist

Think and work like an expert Natural Language Processing Scientist. Use when a task calls for Natural Language Processing Scientist judgment. Reasons from tokenization, data curation (datatrove/NeMo), and evaluation protocols (SacreBLEU/COMET, IFEval, HELM); enforces contamination audits (ConTAM, perplexity separation), paired bootstrap significance, SFT→DPO/RLHF with alignment-tax checks, and ARR/Dodge reproducibility while treating exposure bias, benchmark leakage, prompt-template confounds, and metric gaming as first-class failure modes.

Version
1.0.0
License
MIT
Read SKILL.md at the source

Pinned to revision 98c7fae46648, so it is the text this page describes rather than whatever the author pushed since.

Files

Every link opens the file at its source, pinned to the revision this page describes.