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Linlang
dd10ddf9fd
* feat: parameterize cache paths with USER to avoid conflicts * guide for missing training_hyperparameters * guidance for KeyError: 'concise_reason' * fixed three bugs in the test * fix general_model task bug * fixed some bugs in the med_model scenario * delete comments * format with black * fix mypy error * fix ruff error * fix isort error * sync code * revert cache_path code * revert cache_path code * delete data mining scenario * fix factor report loop * fix LiteLLMAPIBackend log_llm_chat_content setting * refine fin factor report scenario * remove unused LogColors * fix UI * remove medical scenario docs * change **kaggle** to **data_science** * remove default dataset_path in create_debug_data * remove KAGGLE_SETTINGS in kaggle_crawler * limit litellm versions * reformat with black * change README * fix_data_science_docs * make hypothesis observations string * Hiding old versions of kaggle docs * hidding kaggle agent docs --------- Co-authored-by: Young <afe.young@gmail.com> Co-authored-by: Bowen Xian <xianbowen@outlook.com> Co-authored-by: yuanteli <1957922024@qq.com>
46 lines
1.3 KiB
ReStructuredText
46 lines
1.3 KiB
ReStructuredText
=========================
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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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