Developing LLM Applications Using RAG (feat. LangChain)
RAG. Learn from Silicon Valley GenAI Hackathon Winner. Packed with real-world know-how.
3,800 learners
Level Basic
Course period Unlimited
Added method to use langchain-upstage
Hello, this is Kang Byeong-jin.
It hasn't been long since I launched the course, but I'm seeing a lot more people taking the course and asking questions than I expected.
One of the most common questions we got was OpenAI API quota를 어떻게 늘리느냐 .
So I did some additional filming on how to increase your OpenAI API quota, but then I realized you've already paid for the course.
We realized that you might not want to pay for the OpenAI API, so we added a way to use the Upstage API, which gives you $30 in credit when you sign up.
Those who have taken the course already know that UpstageEmbedding is much more performant than OpenAIEmbedding for embedding, so I think you may get better results by taking the course.
I would like to express my gratitude to those who actively asked questions for their good feedback. If there is anything you do not understand or find difficult while taking the class, please ask questions! I will try to answer as quickly as possible.
thank you
Kang Byung-jin's dream


