Abstract
With the rapid development of Internet technologies such as big data and artificial intelligence, chat robots have begun to enter people's daily life, providing a lot of convenience for people's life and work. At present, many research institutions focus on the research and development of chat robots, but this field is still in its infancy, and chat robots in the market are more or less deficient. Based on the deep learning technology in big data, this paper constructs and trains the model of attention mechanism, and realizes the generative dialogue chat robot in the open field, which can intelligently generate smooth responses according to the wide input of users; The model is implemented by deep learning TensorFlow coding library, and the results show that the model proposed in this paper is better than the traditional language model in continuous and meaningful dialogue.
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