DialoGPT is a state-of-the-art, large-scale, pretrained dialogue response generation model developed by Microsoft. It’s designed to generate responses that are comparable to human responses in a single-turn conversation Turing test. The model is based on Huggingface’s PyTorch-Transformer and OpenAI’s GPT-2.
Here are four key features of DialoGPT
- Large-scale Training: DialoGPT is trained on 147M multi-turn dialogues from Reddit discussion threads. The model can be trained in several hours on 8 V100 machines, making it highly efficient for large-scale applications.
- Multiple Model Sizes: DialoGPT comes in three sizes – small (117M), medium (345M), and large (762M), offering flexibility based on the specific requirements of the task at hand.
- High Quality Responses: The human evaluation results indicate that the responses generated from DialoGPT are comparable to human response quality under a single-turn conversation Turing test.
- Integration with Huggingface Transformers: DialoGPT can be easily integrated with Huggingface Transformers, a popular library for state-of-the-art NLP, making it accessible and easy to use for a wide range of NLP tasks.