The Best 61 Dialogue System Tools in 2025

DialoGPT is a large-scale pre-trained dialogue response generation model for multi-turn conversations, performing on par with humans in single-turn Turing tests.

DialoGPT is a state-of-the-art large-scale pre-trained multi-turn dialogue response generation model. In the single-turn dialogue Turing test, the quality of its generated responses can be comparable to that of human responses.

This model achieves multi-skill integrated open-domain dialogue capabilities through large-scale neural models and carefully designed training strategies.

DialoGPT is a cutting-edge large-scale pre-trained dialogue response generation model for multi-turn conversations, capable of producing responses in single-turn Turing tests that are comparable to human answers.

This is an open-domain dialogue model based on large-scale neural networks, capable of integrating multiple conversational skills for natural communication.

BlenderBot is an open-domain chatbot model focused on multi-turn dialogue and the integration of various conversational skills.

Cadet-Tiny is an ultra-compact dialogue model trained on the SODA dataset, specifically designed for edge device inference, with a size of only about 2% of the Cosmo-3B model.

This model is a high-performance open-domain chatbot capable of integrating multiple dialogue skills such as questioning, answering, knowledge demonstration, and empathy.

This is an open-domain dialogue system based on large-scale neural networks, capable of conducting multi-turn natural conversations and integrating various dialogue skills.

UniEval is a multi-dimensional evaluation framework for natural language generation tasks, with unieval-dialog being its pre-trained evaluator specifically for dialogue response generation tasks.

A large language model based on Transformer architecture, supporting various natural language processing tasks

This is a GPT-2 model based on the Transformer decoder, adjusted specifically for single-turn Spanish dialogue tasks, with 345 million parameters.

DialogRPT-updown is a dialogue response ranking model trained on human feedback data, predicting the likelihood of a dialogue response receiving likes.

DialogRPT is a dialogue response ranking model trained on human feedback data, used to predict the relevance of responses to context.

A dialogue generation AI model based on DialoGPT-small, primarily used for entertainment-oriented conversational interactions

A dialogue understanding model developed by Rasa, designed to convert user messages into command syntax parsable by the RASA CALM framework

Russian dialogue generation model based on GPT-2 architecture, designed for generative dialogue agents

A cross-encoder model fine-tuned based on sentence-transformers/all-mpnet-base-v2, used to evaluate the coherence and relevance of dialogue responses.

A dialogue model fine-tuned on distilgpt2, specifically designed for ai-msgbot to generate dialogues between characters alpha/beta

PersonaGPT is an open-domain dialogue agent capable of generating personalized responses based on personality traits and controlling dialogue direction through action codes.

A mental health dialogue model fine-tuned with ChatGLM2-6B LoRA, expanding real psychological support Q&A into multi-round conversations through SMILE technology

This model is specifically designed for training conversational question rephrasing, capable of generating coherent question rephrasing based on historical dialogues and current questions.

SAUTE is a lightweight Transformer architecture with speaker perception ability, designed for effectively modeling multi-speaker dialogues.

DialogRPT is a dialogue response ranking model developed by Microsoft Research, focusing on distinguishing the likelihood of human replies versus machine-generated replies.

A micro Hindi-English mixed dialogue text completion model capable of conversing on daily life topics in Hinglish.

A fine-tuned Russian dialogue model based on rut5-small, lightweight and fast, suitable as a chatbot fallback response generator or for imitating specific dialogue styles.

DialogRPT-depth is a dialogue response ranking model developed by Microsoft Research, focusing on predicting the likelihood of dialogue responses sparking long discussion threads.

The TEN Turn Detection System is an intelligent turn detection model specifically designed for natural dynamic human-machine interaction, accurately identifying natural turn-taking signals to achieve context-aware reasonable interruptions.

A mental health counseling dialogue model fine-tuned based on LLaMA-3.2-1B, capable of running on CPU and low-memory devices

A dialogue generation model based on the DialoGPT architecture, featuring the style of anime character Asuna Yuuki

WebLINX is a model focused on achieving real-world website navigation through multi-turn dialogues, aiming to enhance user interaction experiences on complex websites.

A reinforcement learning-based model that predicts sales conversion probabilities in real-time from customer conversations using Azure OpenAI embedding technology.

This is a chatbot model specifically designed for customer service, capable of handling common customer inquiries and issue resolution.

DialogRPT-width is a dialogue response ranking model that predicts the likelihood of a response being directly replied to.

A Korean social media chatbot model based on the KOBART architecture

A customer service chatbot model fine-tuned based on t5-small, specifically designed for handling customer support inquiries

Aeona is a generative AI chatbot based on DialoGPT-small, focusing on natural conversational interactions with support for contextual memory and personalized responses

This is a multilingual classifier based on GPT-4 distillation, specifically designed to evaluate the Natural Language Inference (NLI) relationship between character responses and preset personality statements in role-playing dialogues.

A FinTech chatbot fine-tuned based on T5-small architecture, specifically designed for banking inquiries

This model is used to evaluate the relevance and specificity of the last message in a dialogue, based on the sberbank-ai/ruRoberta-large architecture.

DialoGPT is a dialogue generation model based on the GPT architecture, specifically designed for generating natural and fluent conversational responses.

ConvoSenseGenerator is a generative model capable of producing commonsense reasoning for dialogue contexts, covering 10 common types of social commonsense.