Computational Semantics, Deep Learning and Explainability

Using Hugging Face Transformers for Sentiment Analysis in R

Heartbeat

JULY 19, 2023

Word embeddings can then be used to predict numerical variables, compute semantic similarity scores across texts, visually represent statistically significant words across multiple dimensions, and much more. Text package: Hugging Face's Transformers in R can be used to convert text variables into word embeddings.

BERT

BERT Natural Language Processing NLP Python

Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs

Marktechpost

SEPTEMBER 15, 2024

Techniques such as BERTSCORE and BARTSCORE employ smaller models to compute semantic similarity and evaluate texts from various perspectives. In addition to that, proxy models can predict LLM performance, reducing computational costs during model selection.

BERT

BERT LLM Large Language Models Categorization

Artificial Intelligence Zone

Using Hugging Face Transformers for Sentiment Analysis in R

Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs

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