인프런 - 라이프타임 커리어 플랫폼

Envision the future with OpenAI API! OpenAI is a leader in the field of artificial intelligence, always providing cutting-edge technology. The GPT-4-based OpenAI API enables human-like conversations, demonstrating remarkable capabilities applicable to various fields.

Using Python's basic syntax and libraries, create your own AI chatbot. You will carry out 5 projects step-by-step, including PDF document-based RAG, and learn the process of deploying them as web services.

Apply the latest trends of Generative AI directly to your work! The bible of Prompt Engineering lectures, packed with essentials

LLM: A pro quickly delivers core content, from essentials to practical tips!

This lecture is for those who have learned Python but are unsure of how to use it. Utilize 99.9% of basic programming knowledge!!! Try making a Flutter voice translation app with basic example code by minimizing difficult code. Talk to chatGPT, translate conversations with foreign friends, draw images with voice, and upgrade the conversation app with fine tuning.

This course teaches you how to use generative AI models using the OpenAI API. In this course, you will learn the basics of using the API, how to use various language models, and practical programming examples and applications to learn how to apply generative AI in real life.

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 learn the concepts and usage methods of the LangChain library, and to build your own ChatGPT using the LangChain library.

-In just one day, create your own RAG chatbot. -Practice how to utilize ChatGPT API and Langchain. -Actually implement LLM-based AI chatbots such as ChatGPT. -Create a RAG chatbot, a current trend in the chatbot market.

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

<Prompt Engineering> Direct lecture by author. Feel free to use ChatGPT, Bing, Bard, HyperCLOVA X, etc.

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

This article explains how to develop an AI web service using the API from OpenAI.

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

I share basic background knowledge and development experience for LLM Application development.

Now is an era where anyone can create services without coding. Selfish Club crew members implemented services for actual use with only the essential features needed within 3 weeks. These are cases where crew members who don't know how to code directly created services to solve problems using only natural language prompts. Vibe coding is no longer an unfamiliar concept! We're sharing real cases of 'what actual problems can be solved through coding' with everyone through actual examples!

What if ChatGPT were embedded within your own application? In this lecture, we will develop various programs using the ChatGPT API. We will cover all processes in detail, from basic API usage to program creation and deployment.

We will directly build a real-world trading bot that runs automatically 24/7, utilizing GPT and Bitget API. Based on direct work experience as a key individual at a major exchange, I will also pass on hidden insights and practical tips that developers who only focus on coding are often unaware of.

Now is truly an era where anyone can create their own service in just one day. While the previous Vibe Coding workshop focused on directly experiencing what Vibe Coding is all about and aimed for everyone to complete and deploy the front-end (visible pages) of the service they wanted to create, this workshop goes beyond simply creating a visible service. It places significant emphasis on a development approach that involves concretely imagining actual users and focusing on 'who will use this service and why.' Through the workshop, participants will naturally learn how to clearly define their target users and the problems to solve while creating their own services. It's perfectly fine if you're new to Vibe Coding! Even if you don't know coding or development, it's more than enough! Rather than simply following along, experience creating a truly usable service yourself in this workshop!

What should be done when building a generative AI or LLM-based RAG (Retrieval-Augmented Generation) system, but the desired performance isn't achieved and there's no suitable solution? This lecture presents methods to improve RAG performance based on Cognitive Load theory. Through this lecture, you will understand the limitations of LLM context windows and learn how to effectively manage cognitive load in RAG systems. It is a practical-level theoretical lecture covering Chunk size and structure design, high-quality Chunk generation techniques, dynamic optimization, performance evaluation, and practical techniques.