BERT, Computational Semantics and Natural Language Processing

Using Hugging Face Transformers for Sentiment Analysis in R

Heartbeat

JULY 19, 2023

source: author Introduction Sentiment analysis is a rapidly growing field within the Natural Language Processing (NLP) domain, which deals with the automatic analysis and classification of emotions and opinions expressed in text. 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

Large Language Models (LLMs) have revolutionized natural language processing in recent years. 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. This has sparked interest in smaller language models (SLMs) like Phi-3.8B

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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