
모두를 위한 대규모 언어 모델 LLM(Large Language Model) Part 1 - Llama 2 Fine-Tuning 해보기
AISchool
LLM(Large Language Model)의 기초 개념부터 고성능 LLM인 Llama 2 모델을 내가 원하는 데이터셋에 Fine-Tuning하는 방법까지 차근차근 학습합니다.
중급이상
LLM, Llama, 딥러닝
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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42 lectures ∙ (6hr 7min)
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$42.90
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