ruDialoGPT-medium
| Property | Value |
|---|---|
| License | MIT |
| Framework | PyTorch, Transformers |
| Language | Russian |
| Research Paper | Link to Paper |
What is ruDialoGPT-medium?
ruDialoGPT-medium is an advanced Russian language dialogue model developed by Tinkoff-AI, based on the SberBank rugpt3medium architecture. It's specifically designed for generating contextual conversational responses, trained on a large corpus of dialogue data with a context window of 3 turns.
Implementation Details
The model builds upon the GPT-2 architecture and has been optimized for Russian language conversation generation. It achieves impressive metrics with a Sensibleness score of 0.78 and Specificity score of 0.69, resulting in a strong SSA (Sensibleness Specificity Average) of 0.735.
- Built on rugpt3medium_based_on_gpt2 architecture
- Implements advanced sampling parameters including top-k, top-p, and beam search
- Supports context-aware dialogue generation
Core Capabilities
- Natural Russian language dialogue generation
- Context-aware responses with up to 3 turns of history
- Customizable generation parameters for response diversity
- High specificity in responses, avoiding generic answers
Frequently Asked Questions
Q: What makes this model unique?
The model stands out for its specialized training in Russian dialogue generation, with significantly better performance metrics compared to its smaller variant. Its SSA score of 0.735 indicates high-quality, contextually relevant responses.
Q: What are the recommended use cases?
The model is ideal for building Russian language chatbots, conversational agents, and dialogue systems. It's particularly suitable for applications requiring context-aware responses and natural conversation flow.
