RobowaifuDev: Created page with "'''A pre-trained language model''' is a type of language model that has been trained on a large dataset of text in order to learn the structure and rules of language. The pre-training step typically involves training the language model on a large corpus of text using a task such as predicting the next word in a sentence. Once the language model is trained, it can be fine-tuned for a specific task, such as sentiment analysis or text classification, using a smaller dat..."

2023-04-28T08:10:32Z

Created page with "'''A pre-trained language model''' is a type of language model that has been trained on a large dataset of text in order to learn the structure and rules of language. The pre-training step typically involves training the language model on a large corpus of text using a task such as predicting the next word in a sentence. Once the language model is trained, it can be fine-tuned for a specific task, such as sentiment analysis or text classification, using a smaller dat..."

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'''A pre-trained language model''' is a type of [[language model]] that has been trained on a large dataset of text in order to learn the structure and rules of language. The pre-training step typically involves training the language model on a large corpus of text using a task such as predicting the next word in a sentence. Once the language model is trained, it can be fine-tuned for a specific task, such as sentiment analysis or text classification, using a smaller dataset.

== History ==
Pre-trained language models have become increasingly popular in [[natural language processing]] (NLP) thanks to advances in deep learning techniques and the availability of large amounts of text data. They have been shown to achieve state-of-the-art performance on a wide range of NLP tasks, including text classification, question-answering, machine translation, and conversational agents.

== Examples ==
Some examples of pre-trained language models include [[BERT]] (Bidirectional Encoder Representations from Transformers), [[GPT]] (Generative Pre-trained Transformer), and [[RoBERTa]] (Robustly Optimized BERT Pretraining Approach). These models have been pre-trained on massive amounts of text and have achieved impressive results on a range of NLP tasks.

Pre-trained language model - Revision history