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@@ -18,7 +18,7 @@ We believe that the automatic evolution of R&D will lead to solutions of signifi
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<!-- Tag Cloud -->
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R&D is a very general scenario. The advent of RDAgent can be your
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- [🎥Automatic Quant Factory]()
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- Data mining copilot: iteratively proposing [🎥data]() & [models]() and implementing them by gaining knowledge from data.
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- Data mining agent: iteratively proposing [🎥data]() & [models]() and implementing them by gaining knowledge from data.
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- Research copilot: Auto read [🎥research papers]()/[🎥reports]() and implement model structures or building datasets.
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- ...
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@@ -60,12 +60,15 @@ Here is our supported scenarios
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| Scenario/Target | Model Implementation | Data Building |
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| -- | -- | -- |
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| 💹Finance | Iteratively Proposing Ideas & Evolving | Auto reports reading & implementation <br/> Iteratively Proposing Ideas & Evolving |
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| 💹Finance | Iteratively Proposing Ideas & Evolving | - Auto reports reading & implementation <br/> - Iteratively Proposing Ideas & Evolving |
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| 🩺Medical | Iteratively Proposing Ideas & Evolving | - |
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| General | Auto paper reading & implementation | - |
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Different scenarios vary in entrance and configuration. Please check the detailed setup tutorial in the scenarios documents.
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TODO: Scenario Gallary
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- map(scenario) => knowledge list;
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# ⚙️Framework
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