Training Infrastructure of a Text-to-Text Generation System
Learn to design, train, and evaluate text-to-text LLMs, focusing on requirements, data, distributed training, and performance metrics.
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Text-to-text LLMs are a subset of language models. Unlike their predecessors, which were primarily designed for text generation or translation tasks, conversational LLMs are specifically trained to engage in interactive dialogue. They can understand user input and generate human-like responses, making them ideal for applications like chatbots, virtual assistants, and interactive storytelling.
These are the brains behind those friendly AI assistants you interact with on websites or your smartphone. They are designed to understand your needs (even if you phrase them roundaboutly) and provide helpful, informative, and often entertaining responses.
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