for everyone
ChatGPT UP!

Practical lecture to understand the principles and trends that contain the know-how of the team that created the service for 1.2 million users with ChatGPT, and even make the service yourself

This lecture is a recorded lecture from a live streaming.

4 expert lectures + lecture materials + QnA summary + handwritten notes

(This lecture uses the FastCampus platform for watching lectures. Click the button to go to the FastCampus website.)

together in the company
Increase your AI literacy

If you are an in-house training manager or working in the AI/DT innovation team!
Establish an AI business strategy more efficiently by quickly applying the know-how of experts who have operated the ChatGPT service for 1.2 million users. You can check the additional benefits provided for corporate training customers through the corporate training proposal.

This lecture for those who are concerned about this.

🤚 Those who want to properly and accurately understand AI and ChatGPT concepts

🤚 Those who are curious about how to use Prompt Engineering, AutoGPT, etc.

🤚 HOW WILL THIS AI CHANGE BUSINESS IN THE FUTURE? THOSE WHO WANT TO FIND COMPETITIVENESS THROUGH AI UTILIZATION

New news about AI and ChatGPT is pouring in every day. Do you feel like you are falling behind because it is difficult to understand and you do not know how to use it?
Through this lecture, understand ChatGPT and Large Language Model and get insights on their use!

Prompt Engineering Prompt engineering skills from super-advanced Microsoft developers
AutoGPT, which can simplify complex business processing,
Furthermore, while listening to the development and operation of AskUp, which is used by 1.2 million people, we will deliver methods and insights on how to create your own application.

Lecture introduction video

Session 4's presenter, Instructor Kim Seong-hoon, introduced ChatGPT Up! A brief introduction to the course. In this lecture, we digest the principles and trends and give an overview of how to actually create a service.

Taste the River

Featured
Prompt Engineering - How To Get GPT To Work
Prompt Engineering - How To Get GPT To Work

Learn basic concepts for Prompt Engineering and understand how to speak well.

Next Movements towards GPT
Next Movements towards GPT

Learn about the future and usage direction of Chat GPT. We talk about the data we need to better utilize and evolve Chat GPT, prompt engineering, and several moves to address Chat GPT's shortcomings.

AI 101 - AI Basics And Technological Flow
AI 101 - AI Basics And Technological Flow

Starting with rule-based programming, which is an early programming form, we look at the basic learning principles of artificial intelligence models for changes in learning methods such as Big Model and Zero/few shot. This course is for those who want to understand the evolutionary process of AI.

The know-how of the team that created 1 million user service with ChatGPT

ChatGPT for Everyone!

Session 1

Understanding the Big Picture of Large Language Model (LLM) / ChatGPT
(Theory & Trend)

In order to fully understand ChatGPT, we will draw a big picture of ChatGPT by solving the principle of ChatGPT from the Large Language Model (LLM), which is the basis of the technology.

  • Before learning ChatGPT, learn the basic learning principles of artificial intelligence models and the process of changing learning methods, starting from Rule-based programming, which is the earliest form, to Big Model and Zero/few shot.


    Concepts covered in this lecture: Rule based programming, Hand designed feature based machine learning, Deep Learning, Pre-training & Fine-tuning, Big Model &zero/few shot

  • From the initial GPT to GPT 4 and Chat GPT, we take a detailed look at the contents and process of change. We also look at the differences and significance of each version.

  • Learn about the user's perspective regarding Chat GPT, and the current state of the service itself. It explains why Chat GPT is attracting attention and the context, including its features, functions, limitations, and pros and cons.

  • Learn about the future and usage direction of Chat GPT. We talk about the data we need to better utilize and evolve Chat GPT, prompt engineering, and several moves to address Chat GPT's shortcomings.

Eunjung Park (Upstage CSO)
 Former Naver Papago model leader​

Talseok Lee (Upstage CTO)
 Former Naver Clova VisualAI leader​

Session 2

Know-how to make with your own AI technology,
ChatGPT Deep Prompt Engineering & LangChain

Learn about magic spells and prompts that train the strongest AI ever and make it work in a few words. We start with the basics of prompt engineering and learn to throw off the limitations of ChatGPT with LangChain.

  • Understand the nature of LLMs and explore how to utilize Chat GPT.

  • Learn basic concepts for Prompt Engineering and understand how to speak well.

  • Learn what to watch out for and how to deal with it in Prompt Engineering.

    Concepts covered in this lecture: Anti-hallucination guidelines, Prompt injection& leakage, Non-deterministic trap

    • Understand the concept of Langchain and practice.

    • What you will learn from this lecture: ChatGPT's limitations and Langchain's role as a solution, Langchain prompt templates, models, and toolkits

    • LangChain practice (recommended for developers)

Hanna Kroukamp
( Copilot Applied AI Engineering team @Microsoft )

Session 3

With your own Jarvis, AutoGPT
Solving Work and Life Problems

Have you heard of Self Prompting, Auto Prompting? This technology, which can create various prompts by itself with initial prompts, is emerging as a hot topic recently, but not many people have experienced it yet. Rather than simply using GPT as one-time input and output, let's learn about AutoGPT, which can perform more complex and planned tasks by instructing GPT to create a plan and executing the plan one by one.

  • Introduction to Auto GPT and practice environment setup. Based on how Auto GPT works, it paints a big picture of how Auto GPT can be utilized. For practice, we recommend taking the developer course

    • What you will learn from this lecture: Concept and function of Auto GPT, usefulness of Auto GPT and difference from Chat GPT, Auto GPT practice environment setting (recommended for developers)`

    • Imitating Auto GPT with Chat GPT and notes

    • Explore Prompts in Auto GPT

  • Description of Auto GPT structure, management method, cost, memory, plug-in

  • Introducing the problems and solutions of the existing Auto GPT.

  • Making Auto GPT More Useful (What Auto GPT Can Do)

    • Integration with Slack and Gradio

    • CREATING FUNCTIONS WITH BUILT-IN USE OF GPT

    • build web

    • coding

Sanghoon Kim
(Upstage AI Challenges Team Lead)
Kaggle Grand Master

Session 4

ChatGPT Applications
Try making it yourself

We share the living experience gained while developing the AskUp service. Learn how to create an application using ChatGPT by working together on a project to create a mini AskUp on Line and Slack.

  • You will learn how Chat GPT works and what learning methods it uses. We'll go further and look at what's different between GPT and Chat GPT so far, and why people are so excited about Chat GPT.

    • How Chat GPT works

    • Wow points from the user's point of view of Chat GPT

  • After Chat GPT came out, we learn about various attempts by speakers to use it in their services. Also, learn the development process of the most representative service, Askup.

    • Sharing various attempts related to Chat GPT

    • Sharing the Askup service development process

  • This is a hands-on process to actually create a ChatGPT application. It is a relatively light exercise, but you can learn the main points to consider when using ChatGPT and the actual development process.

    • Fabrication principle and structure description

    • Share hands-on course

  • From the service point of view, we look at the concept and meaning of the plugin to supplement the functional limitations of Chat GPT, and look at the plugin production process.

    • Plugin concept and meaning

    • Sharing the plugin creation process

Seonghoon Kim (Upstage CEO)
 ​Deep learning instructor for everyone

🧑🏻‍🎓 Testimonials from students

  • “A GOOD LECTURE BEYOND EXPECTATIONS THAT EXPLAINED THE FIELD OF AI IN AN EASY WAY”

    It was easy to understand because it introduced the principles of ChatGPT from LLM and RNN models in detail, and it was good to listen to the impressions and various examples of incumbents. It is a good lecture that goes beyond expectations that explains the field of AI in an easy way.

  • “I was able to catch both theory and practice”

    I WAS ABLE TO SOLVE MY CURIOSITY ABOUT AI TECHNOLOGY, AND THANK YOU FOR COVERING EVERYTHING FROM THEORY TO PRACTICE WITH THE GPT KEYWORD.

  • “Good insights on business application ideas”

    I was inspired to discover new service ideas using ChatGPT, and I gained confidence when I learned that openAI APIs can be used and developed.

  • “Able to properly understand prompt engineering”

    It was good to understand how to increase the utilization of chatgpt through prompt engineering, and it was a useful lecture as it introduced basic examples related to Langchain. As you become more familiar with the development terminology, you will want to practice the lecture content.

  • “Share the process of overcoming the limitations of the latest technology and trial and error”

    I think it will be very helpful for future use by being provided with the concept explanation of AutoGPT and the know-how and code that I have experienced myself. I was able to reduce trial and error by pointing out key points such as prompts.

What's on offer?

▪︎ Expert Online Lecture: Approximately 2 hours of lecture per session - Through the curriculum divided by subject, you can take the course for a lifetime at your own pace.
▪︎ Lecture materials and codes: Lecture materials and codes used in practice are also provided. 

Who would benefit from taking this course?

▪︎ Everyone who wants to understand ChatGPT / AskUp (Askup) and use it for work
▪︎ Anyone who wants to plan or create ChatGPT-related services
▪︎ Anyone who wants to understand the world led by Large Language Model (LLM) and ChatGPT

*AskUp is distributed free of charge so that anyone can easily utilize AI technology, and continuously introduces and uses not only ChatGPT, but also AI OCR technology that reads documents and images, technology that creates images, and the latest information search function. We are increasing convenience. All proceeds from this lecture will be used for AskUp development and service operation so that many people can continue to use AskUp for free.

FAQ

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  • This lecture contains many explanations of technical theories. In the case of theory, it is structured so that those who take the course can understand it as much as possible by easily solving the difficult contents.

    This lecture includes development-related practice, and it is better for those who have some development knowledge about the practice part.

  • Yes, absolutely. For group purchases, please send an email to mars@upstage.ai for smooth payment/enrollment information.

  • Yes, we issue a certificate of completion on the Fastcampus platform to those who have completed a certain level of lectures.

  • This lecture has been edited to make it easier to take a recorded version of the live that was conducted. Those who have purchased live lectures in the past can log in to Fast Campus with the account they used to purchase and continue watching.