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Update README.md #108

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Update README.md #108

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7 changes: 5 additions & 2 deletions README.md
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Expand Up @@ -18,7 +18,7 @@ We believe that the automatic evolution of R&D will lead to solutions of signifi
<!-- Tag Cloud -->
R&D is a very general scenario. The advent of RDAgent can be your
- [🎥Automatic Quant Factory]()
- Data mining copilot: iteratively proposing [🎥data]() & [models]() and implementing them by gaining knowledge from data.
- Data mining agent: iteratively proposing [🎥data]() & [models]() and implementing them by gaining knowledge from data.
- Research copilot: Auto read [🎥research papers]()/[🎥reports]() and implement model structures or building datasets.
- ...

Expand Down Expand Up @@ -60,12 +60,15 @@ Here is our supported scenarios

| Scenario/Target | Model Implementation | Data Building |
| -- | -- | -- |
| 💹Finance | Iteratively Proposing Ideas & Evolving | Auto reports reading & implementation <br/> Iteratively Proposing Ideas & Evolving |
| 💹Finance | Iteratively Proposing Ideas & Evolving | - Auto reports reading & implementation <br/> - Iteratively Proposing Ideas & Evolving |
| 🩺Medical | Iteratively Proposing Ideas & Evolving | - |
| General | Auto paper reading & implementation | - |

Different scenarios vary in entrance and configuration. Please check the detailed setup tutorial in the scenarios documents.

TODO: Scenario Gallary
- map(scenario) => knowledge list;

# ⚙️Framework


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