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🤯 Did You Know (click to read)
BERT embeddings allow virtual assistants to reference prior dialogue for context-aware responses.
BERT generates contextual embeddings that encode the conversation history, allowing dialogue systems to respond coherently over multiple turns. Fine-tuning on conversational datasets improves relevance and user satisfaction. Multi-turn attention ensures previous context is preserved in responses.
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💥 Impact (click to read)
Enhanced context awareness enables chatbots to maintain logical dialogue flow, improving customer support, tutoring, and AI interactions.
For users, AI conversations feel coherent and natural. The irony is that context retention is statistical rather than cognitive.
Source
Devlin et al., 2018, BERT: Pre-training of Deep Bidirectional Transformers
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