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In recent years, Natural Language Processing (NLP) has seen remarkable advances, with the development of sophisticated models such as the Generative Pretrained Transformer (GPT). GPT has been fine-tuned for various NLP tasks, such as text generation, text classification and language translation. There are also other models and techniques available, which can be used alone or in ensembles to achieve state-of-the-art performance. Furthermore, there are many different NLP tasks and benchmarks, such as text generation, text classification, language translation and others, which are evaluated using standardized benchmarks.
