BERT, Computational Semantics and Explainability

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BERT

Computational Semantics

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. Hugging Face transformer models BERT, GPT-2, RoBERTa, and T5 are included in the library.

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

The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family. Techniques such as BERTSCORE and BARTSCORE employ smaller models to compute semantic similarity and evaluate texts from various perspectives.

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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