Overview
Clusy lets users describe analysis or modeling goals in natural language and upload datasets to start a job. The platform helps with data checks, plan design, model selection, compute configuration, and execution across the data-science flow. Users can keep scheduling follow-on work while a job runs and view process and results in a Notebook. [Product features] Natural-language modeling: describe the goal in one sentence to generate a concrete data analysis and model-training plan. Dataset intake: attach datasets for later checks, processing, and modeling. Multi-agent task breakdown: split complex work into analysis, model selection, execution, and other sub-tasks. Notebook execution environment: run analysis flows in one workspace and return viewable results. Model fine-tuning support: help launch fine-tuning and other ML jobs. Follow-on task queue: add new analysis or training needs while the current job is still running.
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Clusy 支持用户用自然语言描述分析或建模目标，并上传数据集发起任务。平台可协助完成数据检查、方案规划、模型选择、算力配置与执行等数据科学流程。用户可在任务运行期间继续安排后续工作，并在 Notebook 中查看执行过程与结果。【产品功能】自然语言建模：通过一句话描述目标，生成具体的数据分析与模型训练方案。数据集接入：支持附加数据集，用于后续的数据检查、处理与建模。多智能体任务拆解：将复杂任务拆分为数据分析、模型选择与执行等子任务。Notebook 执行环境：在统一工作区中运行分析流程，并返回可查看的结果。模型微调支持：可协助发起模型微调等机器学习任务。后续任务排队：支持在当前任务执行过程中添加新的分析或训练需求。