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🤯 Did You Know (click to read)
Models like GPT and DialoGPT are based on Transformer decoders optimized for dialogue generation.
Transformers encode user input sequences with self-attention, enabling context-aware response generation. Decoder layers produce replies token by token while attending to the full conversation history. This allows coherent, contextually relevant multi-turn dialogue for customer support, personal assistants, and interactive storytelling.
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💥 Impact (click to read)
Dialogue systems using Transformers improve user experience with more natural and accurate responses, reducing frustration in automated interactions.
Developers can deploy scalable AI chatbots for diverse applications, including education, commerce, and entertainment.
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