@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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T DeepPavlov Dream: Platform for Building Generative AI Assistants
%A Zharikova, Diliara
%A Kornev, Daniel
%A Ignatov, Fedor
%A Talimanchuk, Maxim
%A Evseev, Dmitry
%A Petukhova, Ksenya
%A Smilga, Veronika
%A Karpov, Dmitry
%A Shishkina, Yana
%A Kosenko, Dmitry
%A Burtsev, Mikhail
%Y Bollegala, Danushka
%Y Huang, Ruihong
%Y Ritter, Alan
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F zharikova-etal-2023-deeppavlov
%X 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.
%R 10.18653/v1/2023.acl-demo.58
%U https://aclanthology.org/2023.acl-demo.58
%U https://doi.org/10.18653/v1/2023.acl-demo.58
%P 599-607
Markdown (Informal)
[DeepPavlov Dream: Platform for Building Generative AI Assistants](https://aclanthology.org/2023.acl-demo.58) (Zharikova et al., ACL 2023)
ACL
- Diliara Zharikova, Daniel Kornev, Fedor Ignatov, Maxim Talimanchuk, Dmitry Evseev, Ksenya Petukhova, Veronika Smilga, Dmitry Karpov, Yana Shishkina, Dmitry Kosenko, and Mikhail Burtsev. 2023. DeepPavlov Dream: Platform for Building Generative AI Assistants. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 599–607, Toronto, Canada. Association for Computational Linguistics.