[LLM 101] LLM 필수기초 & LLaMA SFT 튜닝하기 (feat. ChatApp Poc)

This is an introductory course to understand the concepts and application methods of Vision-Language Models (VLM), and to practically run the LLaVA model in an Ollama-based environment, practicing the process of integrating it with MCP (Model Context Protocol). This course covers the principles of multimodal models, Quantization, service, and integrated demo development, providing a balanced mix of theory and practice.

This is an introductory course to understand the concepts and application methods of Vision-Language Models (VLM), and to practically run the LLaVA model in an Ollama-based environment, practicing the process of integrating it with MCP (Model Context Protocol). This course covers the principles of multimodal models, Quantization, service, and integrated demo development, providing a balanced mix of theory and practice.

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.

This is a course to master the core technologies of LLM basic theory, LangChain, and RAG. You can easily learn the latest AI technologies used in practice, from LLM basics!

"An introductory hands-on course for creating domain-specific customized LLMs with LoRA-based lightweight fine-tuning!" You can now create customized LLMs yourself. This course is designed to help you easily learn the process of creating domain-specific LLMs through LoRA-based lightweight fine-tuning practice, without complex theory. Even those handling LLMs for the first time can follow along, as we guide you step-by-step through the entire process: loading models → inputting data → training → comparing results. Learn the latest techniques for creating LLMs specialized in specific fields with minimal resources through direct hands-on practice!

Describes in detail the various language models developed from the inception of Natural Language Processing technology to the process leading up to the latest LLM models.

We create an AI judge by combining CrewAI, facilitating LLM-based multi-agent technology, with knowledge graphs and inference systems.

Create a program using the GPT API and even generate images and videos!

Develop various features using Spring WebFlux. This course will teach you WebFlux's essential concepts and practical implementation.

This is a hands-on tutorial on how to integrate with IntelliJ and develop quickly using the Model Context Protocol (MCP).

You can learn everything from basic usage of generative AI to automation and creating customized AI chatbots for practical work applications all in one comprehensive course.

Let's create an AI chatbot service like chat gpt using Nextjs 14 version App router and vercel's ai/sdk.

A course that will teach you how to create a website with ChatGPT and take charge of its distribution! Learn even fine-tuning.

During the Gold Rush, it was said that it was easier to become rich by selling gold mining tools than by mining gold yourself. How about selling programs in the ChatGPT Age of Exploration?

Learn the easiest way to handle AI with Spring AI. Let's learn Spring AI by building a RAG chatbot.