Ai Trainer
Current- Engineer high-quality prompts requesting insightful data analysis, manipulation, and visualization tasks reflective of real-world scenarios.
- Evaluate prompts based on complexity, presence of code execution requirements, data accessibility, and expected output type.
- Compose Python code solutions to prompts involving data importing, processing with libraries like Pandas/NumPy, and generating visualizations.
- Rate code solutions on execution time, output accuracy, readability, inline documentation, performance optimization, safety, and design principles.
- Assess responses of varying specificity degrees through multi-point rubrics covering clarity, accuracy, engagement, safety, formatting, and overall effectiveness.
- Craft natural language responses based on code execution outputs in adherence to these rubrics.