
모두를 위한 대규모 언어 모델 LLM Part 5 - LangGraph로 나만의 AI 에이전트 만들기
AISchool
최신 AI 기술의 총집합체인 AI 에이전트! 다양한 AI 에이전트들을 구현해보면서 LangGraph를 이용한 나만의 AI 에이전트 구현법을 학습해봅니다.
중급이상
LangGraph, AI Agent, LangChain
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.
Structure and Features of the Google Gemini Model
How to build multimodal AI applications using Google Gemini API
How to build AI applications with Streamlit
The concept of the Gemma model and how to fine-tune the Gemma model on the dataset I want
How to create various AI applications using the OpenAI API
Who is this course right for?
Anyone who wants to learn the structure and features of the Google Gemini model
Anyone who wants to create a multimodal AI application using Google Gemini API
Anyone who wants to learn how to create AI applications using Streamlit
Those who want to get a job related to deep learning research
Anyone who wants to conduct research related to artificial intelligence/deep learning
Those preparing for graduate school in artificial intelligence (AI)
Need to know before starting?
Experience using Python
Understanding of basic data structures such as List and Dictionary in Python
Experience of attending the pre-course [Large Language Model LLM Part 1 - Try Llama 2 Fine-Tuning]
Experience of attending the pre-course [Large Language Model for Everyone LLM (Large Language Model) Part 2 - Creating My Own ChatGPT with LangChain]
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41 lectures ∙ (6hr 7min)
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$42.90
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