7 Session assessment
Knowledge check
a.
NLP and NLG are subsets of LLMs. NLP analyses text, NLG creates text, and LLMS stores and retrieves text data.
b.
NLP is used for generating human-like text, NLG is for interpreting human language, and LLMs are models that perform processing tasks.
c.
NLP involves both understanding and generating human language. NLF is a specific application of NLP focused on text creation, and LLMs are complex models that integrate these capabilities to perform language-related tasks.
d.
NLP aims to understand and analyse human language, while NLG generates human-like text such as summaries. LLMs are sophisticated models that handle both by using extensive datasets and algorithms.
The correct answer is d.
a.
Generative AI and traditional AI both rely on explicit programming to perform specific tasks, with generative AI being more efficient with data analysis and traditional AI with content creation.
b.
Generative AI focuses on creating new content from existing data, while traditional AI is designed to perform specific tasks using predefined rules and algorithms.
c.
Both types use supervised learning to analyse and predict outcomes based on structured data.
d.
They both can create content, but generative AI requires more computational power.
The correct answer is b.
a.
These services are used for data analysis, and don’t directly affect creativity.
b.
Generative AI services like Microsoft Copilot enhance creativity by automating repetitive tasks, allowing users to focus on more creative aspects of their work, and providing suggestions and ideas.
c.
Generative AI services like Microsoft Copilot allows the AI to handle the creative process, making tasks easier.
d.
Generative AI services like Microsoft Copilot enhance creativity by helping with technical tasks.
The correct answer is b.