AI Pre Trained Networks.
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Pre-Trained models, been trained on extensive data, serves as a foundational model for various tasks, leveraging its learned patterns and features.
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In natural language processing (NLP), these models are commonly employed as a starting point for tasks like language translation, sentiment analysis, and text summarization.
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Utilizing pre-trained models allows NLP practitioners to economize on time and resources, bypassing the need to train a model from scratch on a large dataset.
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Some popular pre-trained models for NLP include BERT, GPT-2, ELMo, and RoBERTa. These models are trained on large datasets of text and can be fine-tuned for specific tasks.
