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Introduction to Generative AI and LLMs [Pt 1]

0:00

Exploring and comparing different LLMs [Pt 2]

10:36

Using Generative AI Responsibly [Pt 3]

31:34

Understanding Prompt Engineering Fundamentals [Pt 4]

40:54

Creating Advanced Prompts [Pt 5]

1:04:08

Building Text Generation Applications [Pt 6]

1:21:06

Building Chat Applications [Pt 7]

1:36:37

Building Search Apps Vector Databases [Pt 8]

1:50:10

Building Image Generation Applications [Pt 9]

2:08:08

Building Low Code AI Applications [Pt 10]

2:30:32

Integrating External Applications with Function Calling [Pt 11]

2:46:55

Designing UX for AI Applications [Pt 12]

2:56:06

Securing Your Generative AI Applications [Pt 13]

3:08:38

The Generative AI Application Lifecycle [Pt 14]

3:16:49

Retrieval Augmented Generation (RAG) and Vector Databases [Pt 15]

3:29:12

AI Agents [Pt 17]

3:51:32

Fine-Tuning LLMs [Pt 18]

3:59:26
Full Series [Part 1-18] | Generative AI for Beginners
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Jun 252024
Expand this description for chapter markers. Learn the fundamentals of building Generative AI applications with our 18-lesson comprehensive course by Microsoft Cloud Advocates. Generative AI for Beginners GitHub repo here: https://aka.ms/genai-beginners Chapters: 00:00:00 - Introduction to Generative AI and LLMs [Pt 1] 00:10:36 - Exploring and comparing different LLMs [Pt 2] 00:31:34 - Using Generative AI Responsibly [Pt 3] 00:40:54 - Understanding Prompt Engineering Fundamentals [Pt 4] 01:04:08 - Creating Advanced Prompts [Pt 5] 01:21:06 - Building Text Generation Applications [Pt 6] 01:36:37 - Building Chat Applications [Pt 7] 01:50:10 - Building Search Apps Vector Databases [Pt 8] 02:08:08 - Building Image Generation Applications [Pt 9] 02:30:32 - Building Low Code AI Applications [Pt 10] 02:46:55 - Integrating External Applications with Function Calling [Pt 11] 02:56:06 - Designing UX for AI Applications [Pt 12] 03:08:38 - Securing Your Generative AI Applications [Pt 13] 03:16:49 - The Generative AI Application Lifecycle [Pt 14] 03:29:12 - Retrieval Augmented Generation (RAG) and Vector Databases [Pt 15] 03:40:03: - Open Source Models and Hugging Face [Pt 16] 03:51:32 - AI Agents [Pt 17] 03:59:26 - Fine-Tuning LLMs [Pt 18]

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Microsoft Developer

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