The immense advancements in natural language processing have given rise to innovative model architecture like GPT-3 and BERT. Such pre-trained models have democratised machine learning, which allows even people with less tech background to get their hands-on building ML applications, without training a model from scratch. With capabilities of solving versatile problems like making accurate predictions transfer learning as well as feature extraction, most new NLP models are typically trained on a wide range of data, in billions.
Read more: https://analyticsindiamag.com/gpt-3-vs-bert-for-nlp-tasks/
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