Abstracts and Predictions
A fascinating exploration of how abstracts are transformed into numeric embeddings using BERT, enabling the development of a predictive classifier. With minimal effort and training data, a system is created to filter research papers based on interest, delivering curated content directly to the inbox. Despite the challenges of funding and time, the pursuit of refining this model continues to spark curiosity and innovation.In this clip
From this podcast
Data Skeptic
Q&A with Kyle
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