
Rhino 6 for Beginners Product Design Part.2
usefulit
This is a lecture on Rhino 3D, which is a basic tool for product design.
初級
Rhino
Learn the core techniques of 'Prompt Engineering' to get exactly the answers you want from AI. From a complete beginner's first steps to expert practical applications, maximize your AI utilization skills!
5 learners
Level Basic
Course period 12 months
You can understand why AI gives such answers and its 'thought process'.
You can learn how AI understands human language (embeddings, tokens) and apply it to prompting.
Learn practical techniques to control and prevent 'Hallucination'.
Utilize AI to generate better prompts and systematically manage them through 'prompt evaluation'.
Understand the inner workings of AI and transcend its limitations!
From LLM principles to practical applications, a professional prompt engineering course
If you've learned the basic technologies of AI (Part 1), now it's time to understand the 'inside' of AI.
To truly master AI, you need to go beyond simply using it and understand 'why it works the way it does'.
In this course, you'll learn how to properly utilize AI's characteristics based on the technical principles of LLMs. You'll understand AI's limitations and acquire practical skills to 'manipulate' it more intelligently within those constraints. Additionally, we'll cover how to prevent malfunctions like personal information leaks or hallucinations, and how to handle AI more safely and accurately.
This course will be the stage where you 'complete' prompt engineering and truly get AI in your hands!
You can understand the background of LLM's emergence (ML/DL) and basic operating principles.
Understand the concepts of embedding and vector space and apply them to prompting strategies.
Understand the concept of tokens and practice AI-powered prompt generation.
You can identify the causes of LLM 'Hallucination' phenomena and write prompts to prevent them.
You will learn the know-how to systematically manage and 'evaluate' written prompts.
ChatGPT
Learn the core technological principles of LLMs, from ML/DL to embeddings, and how AI understands human language.
10. Principles of LLM (Background of ML/DL and the Birth of LLM)
11. LLM Features (Natural Language Processing, Text Generation, Text Analysis)
12. LLM Technology (Embedding and Vector Space)
Practical prompting techniques based on LLM principles such as tokens and hallucination prevention, along with career roadmaps for professionals.
13. Practical Prompting (1) - Understanding Tokens
14. Practical Prompting (2) - Utilizing Model Information, AI-Generated Prompts, Preventing Hallucination
15. Practical Prompting (3) - Prompt Management and Evaluation
16. Conclusion - Future Study Directions and Career Prospects
This course does not provide instructor Q&A.
Lecture materials and lesson plans can be downloaded from [Class Materials] in the first lesson of each section.
Who is this course right for?
Those who want to 'master' prompt engineering
Those who want to understand how AI works and learn more fundamental control methods
AI-powered service planner, developer, and content creation specialist
Those who want to develop their career as a prompt engineer or AI expert
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Learners
6,372
Reviews
4.6
Rating
309
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9 lectures ∙ (3hr 1min)
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$22.00
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