
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 is a lecture to build an AI portfolio by doing a clone project of airbnb data science team's Amenity Detection project, an excellent TensorFlow utilization case, and organizing the experience on a GitHub blog.

Object Detection project experience using CenterNet, a state-of-the-art Object Detection model
Clone project experience, mirroring a project conducted by global IT company Airbnb's Data Science team.
Creating My Own AI Portfolio Page Using GitHub Pages
Want to gain experience with AI projects? 👩💻
Clone project + GitHub blog creation!
Please check before taking the class!
Section 11 of "Vehicle License Plate Recognition Project and Deep Learning Image Recognition All-in-One with TensorFlow"
Section 12 of "Vehicle License Plate Recognition Project and Deep Learning Image Recognition with TensorFlow"
By following the Airbnb Data Science team's projects, you can gain experience in AI projects and create an AI portfolio homepage through a GitHub blog.
Who is this course right for?
Want to create an AI portfolio blog?
Those who want to get a job or change careers as an AI engineer
AI project experience seekers
Need to know before starting?
Python experience
Experience taking the prerequisite course [Introduction to Deep Learning with TensorFlow 2.0] or [Vehicle License Plate Recognition Project and All-in-One Deep Learning Video Recognition with TensorFlow]
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37 lectures ∙ (5hr 50min)
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