ChatGPT and Prompt Engineering With Advanced Data Analysis - Creating a Hashtag

ChatGPT and Prompt Engineering With Advanced Data Analysis - Creating a Hashtag

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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The video tutorial explains metadata, focusing on hashtags as a form of metadata. It demonstrates how ChatGPT can suggest hashtags based on content and links, highlighting the tool's limitations in accessing external links. The tutorial emphasizes understanding the capabilities and limitations of tools like ChatGPT to maximize their potential.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary role of metadata in the context of search engines?

To enhance website security

To provide a visual representation of data

To categorize and rank articles

To store user preferences

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does ChatGPT generate hashtags when provided with a link?

By analyzing the content of the link

By predicting future trends

By accessing external databases

By using words present in the link

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a limitation of ChatGPT when it comes to summarizing links?

It requires user authentication

It provides too many summaries

It cannot access external links

It can only summarize video content

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When given content directly, how does ChatGPT's hashtag suggestion improve?

It becomes more relevant

It remains the same

It becomes less relevant

It suggests fewer hashtags

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to understand the limitations of tools like ChatGPT?

To avoid using them altogether

To ensure they are always accurate

To replace them with better tools

To maximize their potential