Language modeling involves creating statistical models that predict and generate language patterns. It is used in applications like speech recognition and text generation.
Yes, GPT (Generative Pre-trained Transformer) can generate coherent and contextually relevant responses in multi-turn conversations by leveraging a large pre-trained language model. It can process and understand the context of previous turns, allowing it to generate responses that are consistent and relevant to the ongoing conversation.
GPT (Generative Pre-trained Transformer) is capable of handling user queries that involve multiple languages or code-switching by leveraging its robust language modeling capabilities. It can understand and generate text in various languages seamlessly, making it a versatile tool for multilingual communication. GPT processes input text by analyzing the context and generating responses based on the learned patterns, enabling it to handle diverse language inputs effectively.
