Feature Request: Dialogue Systems - Implement Multi-turn Conversation Models

[HsiangNianian]

Dialogue systems facilitate natural conversations with machines. This task will involve building a multi-turn conversation model that remembers prior context for more coherent interactions.

• Memory: How will the model handle memory across multiple turns?
• Model Choice: Which architectures are best suited for dialogue (e.g., GPT-3, RNNs)?
• Use Cases: What are the potential applications for this task (e.g., chatbots, virtual assistants)?

Expected Outcome:

• A multi-turn dialogue system capable of managing contextual conversations.
• API for integrating with chat platforms (e.g., Slack, Telegram).

Labels: feature, NLP, dialogue-system