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Videos
About
Tutorial for Computer Science
5:42
llama3 (8b, 70b) summary that you must know
5:13
라마 3 핵심 정리 (8b, 70b)
7:19
Google Next 24 Generative AI summary (with gemini 1.5 pro intro)
7:10
구글 클라우드 넥스트 24 생성 AI 핵심 요약 (제미나이 1.5 프로 포함)
6:53
Claude 3 and Constitutional AI
7:17
클로드3, 헌법적 AI (constitutional AI)
2:54
LPU 성능 가격 다잡은 새로운 AI 반도체, GPU와 비교해보자
2:50
What is LPU (language processing unit), compare to GPU
5:04
Random Sampling (Temperature, top p, top k) for LLM to generate next word
5:05
LLM 단어 생성의 핵심! 랜덤샘플링 (temperature, top-p, top-k)
5:57
[논문리뷰] LLM 프롬프트를 BERT로 더 강력하게!
6:47
Better LLM performance with BERT plug-in prompt
13:48
[딥러닝 자연어처리] BERT 이해하기
12:06
[deep learning NLP] easy to understand BERT
7:34
GPT-2 (밑바닥부터 알아보는 GPT 2강)
6:28
GPT-2 (basic for understanding for GPT-3)
16:52
GPT-1 (밑바닥부터 알아보는 GPT 1강)
15:13
GPT-1 (basic for understanding GPT-2 and GPT-3)
12:15
딥러닝 컴퓨터 사양 및 부품 고르는 꿀팁
11:21
Deep Learning PC Build 2020 (illustrating each part)
8:54
ELMo (Deep contextualized word representations)
8:32
[TF2 with TF Hub] LSTM + Word2vec (movie review classification) practice
4:53
[텐서플로2 + TF Hub] Word2Vec 실습하기
4:21
[TF2 with TF Hub] Word2Vec Practice
15:02
[논문 리뷰] GPT-3
14:12
[research paper review] GPT-3 : Language Models are Few-Shot Learners
6:22
[텐서플로2 딥러닝] RNN
6:22
[TensorFlow 2 Deep Learning] RNN
15:07
[텐서플로2 딥러닝] CNN
14:41
[TensorFlow 2 Deep Learning] CNN
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