Limitations, Latest Technologies, and Future Outlook of LLMs

[The 2nd edition is scheduled for completion in 2026] You can develop your programming skills while exploring the fundamental principles of Large Language Models (LLMs) such as ChatGPT and Claude in depth. You can learn a variety of information and development techniques that are often difficult to come by.

[Scheduled for completion of the 2nd edition in April 2026] Penetrating the essence of basic statistics necessary for AI development and application without a single formula or line of code.

[The 2nd edition is scheduled for completion in April 2026] This helps junior developers understand the entire development process, from planning to code writing, deployment, and verification, by using artificial intelligence as a development tool.

[2nd Edition scheduled for completion in 2026] Covering everything from prompt engineering theory to practical techniques, latest application cases, and security/ethical issues, this provides practical help to LLM-based service developers, data scientists, and AI planners alike.

[Scheduled for completion of the 2nd edition in May 2026] Helps train the "structured thinking" required to solve problems.

[Scheduled for completion of the 2nd edition in 2026] We present ways to improve RAG performance based on Cognitive Load Theory. To overcome the limitations of existing RAG performance enhancement techniques, we synthesize various methods by applying the conceptual framework of cognitive load.

[Scheduled for completion of the 2nd edition in 2026] You can learn the 'service design' concepts and methods required when planning applications or web services based on LLM, a type of Generative Artificial Intelligence (Generative AI).

[Scheduled for completion of the 2nd edition in 2026] "I only changed one name, but the code became different." We have organized the core of readable code, 'naming that reads well,' from principles to examples. Easy-to-read names are the beginning of collaboration.

[2nd Edition scheduled for completion in 2026] This course is designed to be understood even if you have no prior knowledge of Secure Coding. It covers basic secure coding concepts first, followed by a focus on web service security. This lecture was originally conducted as a special seminar hosted by OO University. With over 160 source codes provided alongside rich commentary, it pinpoints core topics and techniques that can be applied immediately in practical work.

[2nd edition scheduled for completion in May 2026] You can quickly understand the basic concepts and syntax of the C language.

[The 2nd edition is scheduled for completion in 2026] Presents various clean coding techniques.

We introduce basic prompt patterns for coding and advanced API prompt patterns for leveraging artificial intelligence.

[Scheduled for completion of the 2nd edition in 2026] This book provides detailed explanations of various language models developed throughout the process, starting from the beginnings of natural language processing technology to the latest LLM models.

[2nd edition scheduled for completion in 2026] We explore how to create an AI judge by combining various agent frameworks such as CrewAI, LangChain, and AutoGen, which enable the implementation of LLM-based multi-agent technology, along with knowledge graphs and reasoning systems.

[2nd Edition scheduled for completion in 2026] We will look at how to collect and analyze user requirements for planning LLM services.

[Scheduled for completion of the 2nd edition in 2026] We will explore the types of applications and web services that can be built using LLMs.

[Scheduled for completion of the 2nd edition in 2026] Explains why LLM is necessary, the technical background, and basic concepts for LLM planners and LLM application planning managers.

[2nd Edition scheduled for completion in 2026] We will look at how to collect and analyze user requirements for planning LLM services.

[Scheduled for completion of the 2nd edition in 2026] You can learn the 'service design' concepts and methods required when planning applications or web services based on LLM, a type of Generative Artificial Intelligence (Generative AI).

[Scheduled for completion of the 2nd edition in 2026] Explains why LLM is necessary, the technical background, and basic concepts for LLM planners and LLM application planning managers.

Learn how to utilize various local LLMs (Qwen, Gemma) and explore different techniques to efficiently evaluate and improve the performance of LLM systems.

Learn context engineering techniques for creating high-quality AI agents through hands-on practice.

[Scheduled for completion of the 2nd edition in 2026] We will explore the types of applications and web services that can be built using LLMs.

This lecture covers how to use nine notes to improve your work efficiency and strategic planning skills.

In the AX era where AI technology and UX design converge, what strategies should product teams use to design customer experiences? A 17-year veteran senior researcher from a major corporation and knowledge sharer with a PhD in HCI will share insights based on the latest trends, use cases, and research findings.

A must-have course for designers, service planners, and PMs who want to do their jobs better! We will teach you what you need to know for each digital product, industry, and user journey based on real-life cases.

In this lecture, we will look at service planning and design methodologies for planning services in the IT/tech field, as well as various soft skills that service planners must have. Finally, we will analyze the service using the example of an AI voice recognition service, a UX service introductory lecture for beginners.

This course will teach you the concept of the Google Gemini model and how to use the Gemini API, and create various AI applications using Streamlit.

If you're wondering what UX Writing is and why it's important, you'll find out by looking at examples of successful apps.

"Beyond Data Analysis: Mastering Predictive Modeling with 5 Real-World Projects (45 Lectures Total)" Have you finished learning data analysis but feel stuck when it's time to actually build a model? Beyond simply learning how to call libraries, this course will help you fully master the inner workings of algorithms and optimal model validation strategies—ranging from Titanic survival prediction to spam text classification. Systematically conquer projects that wield the most power in the industry, from linear models to the latest ensemble algorithms and the basics of Natural Language Processing (NLP). Step into the world of AI modeling and start predicting the future based on analyzed data.

Now, with the power of AI, anyone can easily plan apps and design UIs! It's okay even if you don't know coding or have no UI experience. AI tools like Claude and ChatGPT will turn your ideas into reality. With just a few questions, you can analyze target customers, design app structures, and even automatically generate UI screens. In this lecture, we will teach you step-by-step from the basics so that even those who are new to Figma can follow along. Even without drawing by hand, you can import existing website UIs at once with the HTML to Design plugin, and with AI tools like Google Stitch or readdy.ai, you can create high-quality screens in a few seconds. This lecture is perfect for anyone dreaming of starting a business, wanting to switch careers to a planner, or wishing to communicate with developers. Instead of complex theories, we will only teach practical know-how that you can immediately use. Now, with just an idea, anyone can plan app services!

This is our 'actual real-world workflow,' and we are releasing the 'onboarding video' used for planners and developers joining our company. It teaches you how to design service screens without a designer and create UX flows and prototypes even if you don't know Figma. Our company maximizes productivity by prototyping quickly during service planning to enable fast decision-making, finalize necessary features, and utilize them directly in front-end development. If the response is positive, I will upload more lectures on other "real-world workflows."

Conquer everything about world-changing AI in just 4 lectures! Lecture 1. The True Identity of Artificial Intelligence AI is not magic. It's a digital brain created by analyzing human 'intelligence' like a mathematical formula! We thoroughly dissect the core structure of seemingly smart artificial intelligence. Lecture 2. Algorithm, AI's Creative (?) Thinking Method How does a pondering AI find answers? Experience firsthand the strategies of AI that plays Go, finds routes, and predicts your search results. Lecture 3. AI Hardware, The Engine That Turns Imagination Into Reality! The chip inside your smartphone is the heart of AI. We dissect everything from CPU, GPU, TPU, to even those unknown names. Lecture 4. The Great Clash of Machine Learning and Deep Learning! What on earth does it mean for AI to 'learn'? From classic rule-based AI to the currently hot ChatGPT! We trace the evolution of learning.

This is a lecture covering LLM theory and practical examples based on <Large Language Models, Just the Essentials!> (Insight, 2025).

We implement the latest Transformer-based PixArt and lightweight adaptation SANA step by step from theory to code. Building on DDPM·DDIM·LDM·DiT covered in Parts I·II, we complete hands-on practice including text encoder integration, samplers (DDIM/ODE), v-prediction/CFG tuning, and small-scale data style fine-tuning.

Based on an accurate understanding of black consumers, appropriate countermeasures and strategies are acquired, enabling effective response to black consumers. Furthermore, it is designed to enhance the professionalism of service staff and improve job satisfaction.

This is a practical guidebook for game business PM job seekers. Starting with the scope of work that business PMs do, we will teach you practical concepts such as BM analysis and improvement proposals, event planning, operation tool planning, indicator design and analysis, and how to write a portfolio.