microsoft/GODEL

Transformer-based encoder-decoder architecture pre-trained on 551M Reddit dialogs plus 5M instruction and knowledge-grounded conversations, enabling response generation conditioned on external text. Integrates with Hugging Face Transformers for straightforward fine-tuning on downstream tasks with minimal labeled data, and includes Flask/Vue demo infrastructure for interactive deployment. Handles grounded dialog through a structured JSON format combining conversation context, external knowledge, and target responses.

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