✨ Generative AI - Prompt Engineering for ChatGPT ✨
Unlock the full potential of large language models like ChatGPT by mastering the art of prompt engineering. This course is designed to equip you with the skills needed to create impactful prompt-based applications for your personal, professional, and educational goals.
💡 What You’ll Learn:
✔️ Effectively apply prompt engineering techniques to work with ChatGPT and other large language models.
✔️ Use prompt patterns to access powerful capabilities within these models.
✔️ Design and build complex, prompt-based applications tailored to your needs.
🔗 Why Take This Course?
Whether you're looking to streamline workflows, enhance productivity, or create innovative applications, this course provides the tools and strategies to make it happen. Perfect for developers, educators, and curious learners ready to harness the power of AI.
🛠️ Course Features:
Expert-led tutorials with practical demonstrations.
Hands-on projects to build real-world applications.
Clear, actionable strategies to optimize your prompts for maximum results.
🚀 Start learning today and transform how you interact with AI!
🔔 Don’t forget to subscribe for more insights on AI, ChatGPT, and prompt engineering!
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Chapters
0:00:10 Prompt Engineering for ChatGPT.
0:22:36 Act as a Speech Pathologist.
0:30:15 Setting Up an Account and Using ChatGPT.
0:35:56 What are Large Language Models?
0:46:14 Randomness in Output.
0:50:47 What is a Prompt?
1:03:43 Intuition Behind Prompts.
1:18:42 Everyone Can Program with Prompts.
1:25:42 Prompt Patterns.
1:29:56 The Persona Pattern.
1:43:54 Introducing New Information to the Large Language Model.
1:51:55 Prompt Size Limitations.
2:00:18 Prompts are a Tool for Repeated Use.
2:13:31 Root Prompts.
2:24:27 Question Refinement Pattern.
2:30:38 Cognitive Verifier Pattern.
2:40:23 Audience Persona Pattern.
2:49:26 Flipped Interaction Pattern.
2:57:49 Few-shot Examples.
3:10:17 Few-Shot Examples with Intermediate Steps.
3:20:13 Writing Effective Few-Shot Examples.
3:30:42 Chain of Thought Prompting.
3:42:43 React Prompting.
3:54:38 Using Large Language Models to Grade Each Other.
4:03:09 Game Play Pattern.
4:19:34 Template Pattern.
4:31:53 Meta Language Creation Pattern.
4:48:55 Alternative Approaches Pattern.
5:03:04 Ask for Input Pattern.
5:08:33 Combining Patterns.
5:13:14 Outline Expansion Pattern.
5:31:42 Fact Check List Pattern.
5:38:51 Tail Generation Pattern.
5:45:37 Semantic Filter Pattern.
5:53:23 Course Conclusion & Thank You!
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