cosmo-xl
Maintainer: allenai
82
👨🏫
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model Overview
cosmo-xl is a conversation agent developed by the Allen Institute for AI (AllenAI) that aims to model natural human conversations. It is trained on two datasets: SODA and ProsocialDialog. The model can accept situation descriptions as well as instructions on the role it should play, and is designed to have greater generalizability on both in-domain and out-of-domain chitchat datasets compared to other models.
Model Inputs and Outputs
Inputs
- Situation Narrative: A description of the situation or context with the characters included (e.g. "David goes to an amusement park")
- Role Instruction: An instruction on the role the model should play in the conversation
- Conversation History: The previous messages in the conversation
Outputs
- The model generates a continuation of the conversation based on the provided inputs.
Capabilities
cosmo-xl is designed to engage in more natural and contextual conversations compared to traditional chatbots. It can understand the broader situation and adjust its responses accordingly, rather than just focusing on the literal meaning of the previous message. The model also aims to be more coherent and consistent in its responses over longer conversations.
What Can I Use It For?
cosmo-xl could be used to power more engaging and lifelike conversational interfaces, such as virtual assistants or chatbots. Its ability to understand context and maintain coherence over longer dialogues makes it well-suited for applications that require more natural language interactions, such as customer service, educational tools, or entertainment chatbots.
However, it's important to note that the model was trained primarily for academic and research purposes, and the creators caution against using it in real-world applications or services as-is. The outputs may still contain potentially offensive, problematic, or harmful content, and should not be used for advice or to make important decisions.
Things to Try
One interesting aspect of cosmo-xl is its ability to take on different roles in a conversation based on the provided instructions. Try giving it various role-playing prompts, such as "You are a helpful customer service agent" or "You are a wise old mentor", and see how it adjusts its responses accordingly.
You can also experiment with providing more detailed situation descriptions and observe how the model's responses change based on the context. For example, try giving it a prompt like "You are a robot assistant at a space station, and a crew member is asking you for help repairing a broken module" and see how it differs from a more generic "Help me repair a broken module".
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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