Large Language Models (LLMs) like GPT-3 can significantly assist data workers across various technical areas within the data industry. Here are some ways LLMs can provide support:
- Data Exploration and Understanding: LLMs can help data workers interpret and understand complex datasets by generating human-readable explanations, summaries, and insights from raw data.
- Query Generation and Optimization: LLMs can assist in formulating SQL queries or natural language questions to extract specific information from databases, making data retrieval more intuitive.
- Data Preprocessing: LLMs can suggest data preprocessing steps, such as handling missing values, encoding categorical variables, and scaling features, streamlining the data preparation process.
- Feature Engineering: LLMs can generate ideas for creating new features from existing data, improving the quality of input for machine learning models.
- Predictive Modeling: LLMs can guide data workers through the process of selecting appropriate machine learning algorithms, hyperparameters, and evaluation metrics for predictive modeling tasks.