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| Russian | English |
| обученный генерации текста трансформер | generative pre-trained transformer (MichaelBurov) |
| обученный генерации текста трансформер | generative pretrained transformer (GPT MichaelBurov) |
| обученный по методу обучения с подкреплением | trained with reinforcement learning (Nature Alex_Odeychuk) |
| предварительно обученная модель | pretrained model (Alex_Odeychuk) |
| предварительно обученный | pre-trained |
| предварительно обученный | pretrained (Alex_Odeychuk) |
| предварительно обученный генеративный преобразователь | generative pre-trained transformer (Generative pre-trained transformers (GPT) are a family of language models generally trained on a large corpus of text data to generate human-like text. They are built using several blocks of the transformer architecture. They can be fine-tuned for various natural language processing tasks such as text generation, language translation, and text classification. The "pre-training" in its name refers to the initial training process on a large text corpus where the model learns to predict the next word in a passage, which provides a solid foundation for the model to perform well on downstream tasks with limited amounts of task-specific data.: According to the researchers, LLMs demonstrate “state-of-the-art capabilities” in translation quality assessment at the system level. However, they emphasized that only GPT 3.5 and larger models are capable of achieving state-of-the-art accuracy when compared to human judgments. Those findings provide “a first glimpse into the usefulness of pre-trained, generative large language models for quality assessment of translations,” they said.  wikipedia.org Alexander Demidov) |
| специально обученный | specifically trained (singularityhub.com Alex_Odeychuk) |
| трансформер, обученный для генерации текста | generative pre-trained transformer (MichaelBurov) |