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* feat: start with previous workspace * feat: finetune llm * add PrevModelLoadEvaluator --------- Co-authored-by: Young <afe.young@gmail.com> Co-authored-by: v-jianwan <v-jianwan@microsoft.com> Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
47 lines
1.3 KiB
ReStructuredText
47 lines
1.3 KiB
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=========================
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Scenarios
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=========================
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Scenario lists
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=========================
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In the two key areas of data-driven scenarios, model implementation and data building, our system aims to serve two main roles: 🦾copilot and 🤖agent.
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- The 🦾copilot follows human instructions to automate repetitive tasks.
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- The 🤖agent, being more autonomous, actively proposes ideas for better results in the future.
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The supported scenarios are listed below:
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.. list-table::
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:header-rows: 1
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* - Scenario/Target
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- Model Implementation
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- Data Building
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* - 💹 Finance
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- :ref:`🥇The First Data-Centric Quant Multi-Agent Framework <quant_agent_fin>`
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- :ref:`🤖Iteratively Proposing Ideas & Evolving <model_agent_fin>`
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:ref:`🦾Auto reports reading & implementation <data_copilot_fin>`
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:ref:`🤖Iteratively Proposing Ideas & Evolving <data_agent_fin>`
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* - 🏭 General
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- :ref:`🦾Auto paper reading & implementation <model_copilot_general>`
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- :ref:`🤖 Data Science <data_science_agent>`
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.. toctree::
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:maxdepth: 1
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:caption: Doctree:
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:hidden:
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quant_agent_fin
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data_agent_fin
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data_copilot_fin
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model_agent_fin
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model_copilot_general
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data_science
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finetune
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