@inproceedings{zharikova-etal-2023-deeppavlov,
    title = "{D}eep{P}avlov Dream: Platform for Building Generative {AI} Assistants",
    author = "Zharikova, Diliara  and
      Kornev, Daniel  and
      Ignatov, Fedor  and
      Talimanchuk, Maxim  and
      Evseev, Dmitry  and
      Petukhova, Ksenya  and
      Smilga, Veronika  and
      Karpov, Dmitry  and
      Shishkina, Yana  and
      Kosenko, Dmitry  and
      Burtsev, Mikhail",
    editor = "Bollegala, Danushka  and
      Huang, Ruihong  and
      Ritter, Alan",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-demo.58",
    doi = "10.18653/v1/2023.acl-demo.58",
    pages = "599--607",
    abstract = "An open-source DeepPavlov Dream Platform is specifically tailored for development of complex dialog systems like Generative AI Assistants. The stack prioritizes efficiency, modularity, scalability, and extensibility with the goal to make it easier to develop complex dialog systems from scratch. It supports modular approach to implementation of conversational agents enabling their development through the choice of NLP components and conversational skills from a rich library organized into the distributions of ready-for-use multi-skill AI assistant systems. In DeepPavlov Dream, multi-skill Generative AI Assistant consists of NLP components that extract features from user utterances, conversational skills that generate or retrieve a response, skill and response selectors that facilitate choice of relevant skills and the best response, as well as a conversational orchestrator that enables creation of multi-skill Generative AI Assistants scalable up to industrial grade AI assistants. The platform allows to integrate large language models into dialog pipeline, customize with prompt engineering, handle multiple prompts during the same dialog session and create simple multimodal assistants.",
}

An open-source DeepPavlov Dream Platform is specifically tailored for development of complex dialog systems like Generative AI Assistants. The stack prioritizes efficiency, modularity, scalability, and extensibility with the goal to make it easier to develop complex dialog systems from scratch. It supports modular approach to implementation of conversational agents enabling their development through the choice of NLP components and conversational skills from a rich library organized into the distributions of ready-for-use multi-skill AI assistant systems. In DeepPavlov Dream, multi-skill Generative AI Assistant consists of NLP components that extract features from user utterances, conversational skills that generate or retrieve a response, skill and response selectors that facilitate choice of relevant skills and the best response, as well as a conversational orchestrator that enables creation of multi-skill Generative AI Assistants scalable up to industrial grade AI assistants. The platform allows to integrate large language models into dialog pipeline, customize with prompt engineering, handle multiple prompts during the same dialog session and create simple multimodal assistants.
Zharikova, Diliara Kornev, Daniel Ignatov, Fedor Talimanchuk, Maxim Evseev, Dmitry Petukhova, Ksenya Smilga, Veronika Karpov, Dmitry Shishkina, Yana Kosenko, Dmitry Burtsev, Mikhail
DeepPavlov Dream: Platform for Building Generative AI Assistants