Mandatory:
1. Prompt Development: Create prompts that effectively guide the AI model to produce desired
outputs in various domains and scenarios. Design prompts to capture user intent and elicit the
desired information or action.
2. Prompt Optimization: Continuously iterate and refine prompts to improve the quality and
performance of the conversational AI system. Analyze user interactions and feedback to identify
areas for prompt enhancement and adjust them accordingly.
3. Prompt Testing and Evaluation: Conduct thorough testing and evaluation of prompts to assess
their effectiveness and efficiency. This involves analyzing the generated responses, identifying
areas for improvement, and iterating on the prompts to enhance performance.
4. Research and Development: Stay up to date with the latest advancements in natural language
processing (NLP) and machine learning (ML). Explore and experiment with new techniques,
methodologies, and tools to enhance prompt engineering processes.
5. Data Analysis: Analyze user interactions, model outputs, and performance metrics to identify
patterns, trends, and areas for improvement. Use data-driven insights to optimize prompts and
make informed decisions about prompt modifications.
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