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learn nlp
embeddings, the transformer, pretrained models, and building real apps on top.
curatedmixed~4 weeks, part-time
nlp & the transformer
the modern nlp stack from the ground up: represent text, understand the transformer deeply, then fine-tune and ship.
4 modules · 13 resources · checkpoint per modulestay current
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- Automation of literature screening for meta-analyses in the field of psychology: an evaluation of two text-mining approachesthis paper evaluates two text-mining approaches for automating literature screening in psychology meta-analyses. it helps practitioners streamline the tedious process of identifying relevant studies, potentially saving significant time and resources in research.
- SURE: data-efficient safety guardrailing via internal representations and uncertainty-weighted pseudo-labelsthis paper proposes sure, a method for data-efficient safety guardrailing of large language models. it aims to prevent llms from generating harmful content without significantly degrading their general performance, offering a practical approach to improve the safety and reliability of deployed llm systems.
- Generating guideline-concordant and safe recommendations for diabetic kidney disease management via a hierarchical retrieval-augmented large language modelthis paper introduces a hierarchical retrieval-augmented large language model designed to provide safe and guideline-concordant recommendations for managing diabetic kidney disease. it helps clinicians navigate complex patient histories and evolving treatment guidelines, offering a practical tool for decision support in a critical medical domain.
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