transfer-learning-conv-ai
This project provides a well-structured codebase enabling the training of conversational agents via transfer learning from OpenAI's GPT and GPT-2 models. It replicates HuggingFace's successful outcomes from the NeurIPS 2018 ConvAI2 competition, simplifying over 3,000 lines of competition code into a concise 250-line script, optimized for distributed and FP16 training. The model can be trained on cloud instances within an hour, with a pre-trained version readily available for immediate deployment. The project includes setup instructions, Docker support, and detailed guidance for training, interaction, and evaluation, thus offering a comprehensive solution for creating cutting-edge conversational AI.
