Language Model Pretraining and its Applications – Fagen wasanni
Language model pretraining has revolutionized Natural Language Processing (NLP) and Natural Language Understanding (NLU) by significantly improving the performance of various NLP tasks. Models like GPT, BERT, and PaLM have gained popularity due to their ability to generate accurate content, answer questions, and summarize text. One notable model is BERT, which stands for Bidirectional Encoder Representations from Transformers. BERT has numerous applications, including text summarization, enhancing search results, and improving biomedical text mining.
Text summarization aims to condense a document while retaining its meaning. There are two approaches: extractive, which selects sentences to include in the summary, and abstractive, which generates summaries with original phrases. Recent research has explored the use of BERT for text summarization. By using a BERT-based document-level encoder, researchers have achieved a deeper comprehension of the document and its component phrases….
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source: https://news.oneseocompany.com/2023/08/07/language-model-pretraining-and-its-applications-fagen-wasanni_2023080748644.html
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