LLM Prompt Design Task

A LLM Prompt Design Task is a prompt engineering task that involves crafting and structuring prompts for large language models to achieve desired outputs.

• AKA: LLM Prompt Crafting Task, Large Language Model Prompt Design Task.
• Context:
  • It can typically involve LLM Prompt Creation Task with llm prompt templates.
  • It can typically require LLM Prompt Testing Task through llm prompt evaluation metrics.
  • It can typically support LLM Prompt Optimization with llm prompt refinement techniques.
  • It can often utilize LLM Prompt Pattern Library for llm prompt reusability.
  • It can often integrate with LLM Prompt Lifecycle Management System for llm prompt version control.
  • It can range from being a Manual LLM Prompt Design Task to being an Automated LLM Prompt Design Task, depending on its llm automation level.
  • It can range from being a Single-Shot LLM Prompt Design Task to being an Iterative LLM Prompt Design Task, depending on its llm refinement cycle.
  • It can range from being a Domain-Specific LLM Prompt Design Task to being a General-Purpose LLM Prompt Design Task, depending on its llm application scope.
  • It can range from being a Professional Engineer LLM Prompt Design Task to being a Lay User LLM Prompt Design Task, depending on its llm user expertise level.
  • ...
• Examples:
  • Chain-of-Thought LLM Prompt Design Tasks, such as:
    • Step-by-Step Reasoning LLM Prompt Design Task for llm mathematical problem solving.
    • Logical Inference LLM Prompt Design Task for llm deductive reasoning.
  • Few-Shot LLM Prompt Design Tasks, such as:
    • Example-Based LLM Prompt Design Task for llm pattern learning.
    • Demonstration LLM Prompt Design Task for llm task instruction.
  • Zero-Shot LLM Prompt Design Tasks, such as:
    • Direct Instruction LLM Prompt Design Task for llm immediate response.
  • ...
• Counter-Examples:
  • Model Fine-Tuning Task, which modifies model parameters rather than prompt structure.
  • Dataset Curation Task, which focuses on training data rather than prompt design.
  • Model Architecture Design Task, which creates neural network structures rather than prompt templates.
• See: Prompt Engineering Process, LLM Prompt Creation Task, LLM Prompt Testing Task, Automated LLM Prompt Design Task, Manual LLM Prompt Design Task, LLM Prompt Optimization, Large Language Model, User-Centric Prompt Engineering Framework.

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