The document discusses that artificial intelligence will drive the fourth industrial revolution and transform many jobs and industries over the next decade. It provides examples of generative AI technologies that can actively generate results for users in areas like image creation, music generation, and video production. The document also discusses challenges that may arise from increased use of AI, like job losses, and how companies can make decisions using internal corporate data and AI.

1. Jinhy Lee
AI Overview

2. The 4th Wave – The Artificial Intelligence Era
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The fourth wave is likely to be driven by artificial intelligence . Regarding the new wave that is a step forward in the
information revolution, Yuval Harari, the author of ‘ Sapiens ’ , argued that “the direction will be determined by what
direction humans take to control artificial intelligence . ”
This can also be confirmed in the UN Future Report released last year . This report announced that as science and
technology develop, artificial intelligence and robots will replace people, resulting in the disappearance of 2 billion
jobs and 80% of existing jobs by 2030 .
' Internet of Things , cloud , advanced robots , driverless cars , next-generation genetic maps , 3D printers , new
resource exploration technologies , new renewable energy , and nanotechnology ' were selected as nine new
technologies that will destroy jobs . Beyond the information revolution, it is announcing the advent of the artificial
intelligence era .

3. 3
Comparison of
3
E
_
Generative AI
• Give keywords and learn on your
own
• Generative AI is an artificial
intelligence technology that actively
generates results according to the
user’s specific needs.
• large amounts of data ( Hyper -scale
Data), we are exploring the realm of
creation, which can be considered
the human realm.
• You can find answers even in areas
you don't know much about.
Menu ➤ Menu ☰
Existing AI
• Learn to fit a specific purpose 
inference

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5. AI concept
5
machine learning : Provides data such as computer and laptop photos and can be inferred from photos of other
computers
- If a problem occurs, human intervention is required
Deep Learning : Implementation of algorithms in layers by imitating the human brain neural network , machine
learning of large amounts of data , prediction based on existing data
Generative AI: Finds data on its own and learns on its own
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6. AI concept
6

7. AI concept
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8. ChatGPT API expansion
8
Native ( https://www.native.me ), AskUP
Internet companies are continuously adding consultation functions to existing services using the ChatGPT API .
Reiner's ' Rainer AI', My Real Trip's ‘ AI Travel Planner ’, Toss’ ‘ Ask ChatGPT ’, Ellis’ ‘ AI Helpy ’, Classum’s ‘ AI Dot
2.0’, Good Doc’s ' Health AI Chatbot ' and others use ChatGPT to provide professional consultation services in
areas such as knowledge information , travel , finance , education , work , and medical care .
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9. AI concept
9
Parameter : Model internal parameters
Hyper Parameter: Hyper parameters refer to values set directly by the user when modeling . ( They are often
specified by the practitioner) learning rate or support vector machine There are a lot of C, sigma values , K values
in KNN , etc.
- Which value to set is decided using empirical rules or heuristic methods.
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10. AI change our lives ?
10
Prompt : How to ask good questions
Generative AI real-life examples
- Image creation service : Polygroud AI ( https://playgroundai.com/ ), Midjourney ( https://www.midjourney.com / ) _
- Music creation service : Soundlaw ( https://soundraw.io/ ) _ _
- Video creation service : InvideoAI ( https://invideo.io/ )
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11. AI- driven enterprise
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12. Medical - AI model for cancer diagnosis & new drug
development
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MS announced on the 7th ( local time ) that it has joined hands with Paige , a leading company in the AI clinical field, to
develop the world's largest generative AI model for cancer diagnosis . This refers to a technology that allows AI , which
has learned a large amount of histopathological examination images , to easily interpret various cancers without a
pathologist having to analyze each biological tissue removed from a patient under a microscope . Page CEO Andy Moye
said , “This model is the largest ever announced, ” and “It is a groundbreaking moment for cancer treatment . ”
MS , previously built an AI basic model to identify breast, colon , and prostate cancer by learning more than 1 billion
images from 500,000 pathological tissues for various cancer types . The two companies that declared cooperation plan
to expand this to up to 4 million pathological tissues and develop an AI model that can diagnose not only common
cancers but also rare cancers by learning billions of data .
New drug development
- The average development period for a new drug is more than 10 years , and the cost is approximately 2 to 3 trillion
won . However , even after spending such a long time and enormous amount of money, the probability of failure is as
high as 92% .
- AI can search more than 1 million papers at once , completing in one day the work that would take dozens of
researchers over 1 to 5 years . Accordingly, experts predict that if AI is used in all stages of new drug development, the
development cycle will be shortened from 15 years to 7 years , and development costs will also be reduced to
approximately 600 billion won .
- AI technology also plays an important role in the clinical trial phase . We present new drug candidates by calculating
compound structural information and in vivo protein binding ability . Additionally , it has the advantage of predicting drug
interactions and reducing trial and error that may occur during the clinical trial design stage.
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13. Problems caused
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14. Problems caused
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15. Problems caused
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16. How to make decisions using data within a company ?
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• Analyze the characteristics of our company's most successful marketing promotions over the past 10
years .
• When looking at the contents of company meeting minutes and project work-related reports in the past
year , which project-related meetings were held the most and summarize the key contents of these
minutes ?
• Among the meeting minutes from the past month , find which meeting had the most opposing opinions
and the most discussion and disagreement .
• When looking at the contents of emails exchanged within the company over the past month , find out who
acts as a mediator the most .
 Our company’s own corporate chatting bot (Vertical LLM) is required.
ex) Samsung MS Azure- based in-house generative AI development Middle ( (Azure OpenAI Service) -
Resolve security concerns
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17. What should individuals prepare ? – 3I
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Inquiry: Learn how to ask questions well
Inspection: Check the AI results carefully
Idea: Add your expertise and creativity
 Don't look at the trees, look at the forest
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18. Multi-modal interface
Terms
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