doctorGPT_mini
Maintainer: llSourcell
41
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| 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
doctorGPT_mini is a text-to-text AI model created by the AI researcher llSourcell. It is similar to other models such as medllama2_7b, ChatDoctor, and mpt-30B-instruct-GGML.
Model inputs and outputs
doctorGPT_mini is a text-to-text model, meaning it takes text as input and generates new text as output. The model can handle a wide variety of text tasks, from answering questions to generating summaries and more.
Inputs
- Text prompts that describe the task the user wants the model to perform
Outputs
- Generated text that completes the task described in the input prompt
Capabilities
doctorGPT_mini is capable of performing a wide range of text-based tasks, including answering questions, generating summaries, and even engaging in open-ended conversation. The model has been trained on a large corpus of text data, giving it a strong foundation of knowledge to draw from.
What can I use it for?
doctorGPT_mini could be useful for a variety of applications, such as customer service chatbots, content creation, or even as a personal assistant to help with tasks like research and writing. The model's creator has also suggested it could be used for medical applications, though the extent of its capabilities in this domain is unclear.
Things to try
With doctorGPT_mini, you could experiment with different types of text-based tasks, such as generating creative stories, answering questions about a specific topic, or even engaging in open-ended conversation. The model's versatility makes it an interesting tool for exploration and experimentation.
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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