WGU D685 PRACTICAL APPLICATIONS OF PROMPT
SECTION 3 TERMS
1. structured prompts
Answer detailed and specific instructions provided to AI generators, typically following a format that
includes the image type, main subject, background scene, and composition style
2. modifiers
Answer descriptive keywords or parameters included in prompts to specify additional details or character-
istics of the desired output, such as mood, lighting, viewpoint, or style
3. iterative prompting
Answer the process of refining prompts through successive iterations by adding additional details,
modifiers, or parameters to improve the quality or specificity of the generated images
4. advanced prompting technique
Answer techniques such as language processing, decision-making, and problem-solving, which include few-
shot, zero-shot, tree-of-thought (ToT), chain-of-thought (CoT), and self-consistency that use structured and
sophisticated methods to guide machine learning models, improving their performance and accuracy in tasks
1/4
SECTION 3 TERMS
1. structured prompts
Answer detailed and specific instructions provided to AI generators, typically following a format that
includes the image type, main subject, background scene, and composition style
2. modifiers
Answer descriptive keywords or parameters included in prompts to specify additional details or character-
istics of the desired output, such as mood, lighting, viewpoint, or style
3. iterative prompting
Answer the process of refining prompts through successive iterations by adding additional details,
modifiers, or parameters to improve the quality or specificity of the generated images
4. advanced prompting technique
Answer techniques such as language processing, decision-making, and problem-solving, which include few-
shot, zero-shot, tree-of-thought (ToT), chain-of-thought (CoT), and self-consistency that use structured and
sophisticated methods to guide machine learning models, improving their performance and accuracy in tasks
1/4
