The 'is_active' column in the 'users' table may already reflect this or a similar definition, but further analysis would be required to set specific thresholds for 'session_duration' and 'revenue'. These thresholds could be determined by calculating averages or percentiles based on the data ...
Large language models (LLMs) have transformed textual or qualitative data processing and analysis by automating and enhancing interpretive accuracy, particularly in complex areas like cybersecurity, ethics, and compliance. This study examines the effective-ness of local LLMs in analyzing qualitative ...
数据洞察:InsightPilot paper:Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System 相关 paper:QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data 相关 paper:MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis 相关 ...
(51)InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks评估agent的数据分析能力的benchmark(52)Evaluating Very Long-Term Conversational Memory of LLM AgentsLLM长上下文能力评估的benchmark——LOCOMO(非常长,每个对话包含300轮,平均9K个词,35个会话)(53)LONG-FORM FACTUALITY IN LARGE LANGUAGE MODELS...
Store the information in Excel. API agent calls the Excel API. Extract user sentiment from social media content. Execute social media API calls using data mining with data agent. Perform sentiment analysis using RAG data agent. Use preselected metrics to generate indicators using API agent (Sheets...
QuickInisght 是最早也是功能最基础的数据分析工具,它能快速发现多维数据中的 pattern。它的洞察数据单元由三个要素组成subject ≔ {𝑠𝑢𝑏𝑠𝑝𝑎𝑐𝑒(𝑠)数据空间, 𝑏𝑟𝑒𝑎𝑘𝑑𝑜𝑤𝑛 拆分维度, 𝑚𝑒𝑎𝑠𝑢𝑟𝑒(𝑠)观察指标}, 以下是{Los Angeles,Month,Sales}...
CCNet的整个流程(加上LLaMA论文做出的一些小修改)如下所示,包括以下几个阶段:从数据源(data source)获取数据、去重(deduplication)、语言识别(language)、使用模型筛选(filtering)以及LLaMA中添加的“是否是参考来源”筛选(“is-reference” filtering)。接下来我将逐个介绍这些阶段。
However, performing effective data exploration requires in-depth knowledge of the dataset, the user intent and expertise in data analysis techniques. Not being familiar with either can create obstacles that make the process time-consuming and overwhelming. To address this issue, we ...
这将使软件开发这个行业参与的业务领域更加多样化,数字化应用的范围更加广泛。 (参考资料:https://insights.sei.cmu.edu/blog/application-of-large-language-models-llms-in-software-engineering-overblown-hype-or-disruptive-change/) 与大家共勉。
We introduce a tool namedInsTagfor analyzing supervised fine-tuning (SFT) data in LLM aligning with human preference. For local tagging deployment, we releaseInsTagger, fine-tuned onInsTagresults, to tag the queries in SFT data. Through the scope of tags, we sample a 6K subset of open-res...