Conversational Models
Meena
Introduced by Adiwardana et al. in Towards a Human-like Open-Domain ChatbotMeena is a multi-turn open-domain chatbot trained end-to-end on data mined and filtered from public domain social media conversations. This 2.6B parameter neural network is simply trained to minimize perplexity of the next token. A seq2seq model is used with the Evolved Transformer as the main architecture. The model is trained on multi-turn conversations where the input sequence is all turns of the context and the output sequence is the response.
Source: Towards a Human-like Open-Domain Chatbot
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
