Top Generative AI Use Cases & Challenges | Learn Applications and Limitations

Описание: Welcome to this lecture where we’ll explore Generative AI — its real-world use cases, practical applications, and key limitations that every AI enthusiast should know! 🚀

In this session, you’ll learn how Generative AI is transforming industries while also understanding the challenges and risks behind this rapidly growing technology.

Here’s what you’ll learn in this video:
💡 Top Generative AI use cases:

Text summarization and content creation

Information extraction and data analysis

Translation, localization, and recommendations

Developer assistance and AI-powered code generation

⚠️ Limitations and challenges of Generative AI:

Limited context retention and short-term memory

Inability to generate novel information without reference data

Risks of hallucination and toxic language generation

Challenges in natural language generation and bias in training data

By the end of this lecture, you’ll have a clear understanding of how to use Generative AI responsibly, its current limitations, and why implementing AI guardrails is essential for safe and ethical deployment.

⏱️ Timestamps

00:00 – Introduction
00:12 – Generative AI use cases overview
00:17 – Text summarization and content creation
00:34 – Information extraction and analysis
01:02 – Translation and recommendations
01:17 – Developer assistance and code generation
01:47 – Limitations: Knowledge and context retention
03:01 – Inability to generate novel information
03:33 – Toxic or inappropriate outputs
04:06 – AI hallucinations and misinformation
04:23 – Summary and closing

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