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Amazon Web Services
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[25D3T2S07]_What's new_MySQL 8.4의 변화.pdf
by
Amazon Web Services
[25D2S07]_Amazon Nova를 이용해 향샹된 RAG 활용하기.pdf
by
Amazon Web Services
[25D2S09]_Amazon Nova팀이 선택한 Amazon SageMaker HyperPod 활용하기.pdf
by
Amazon Web Services
[25D2S04]_Amazon Nova와 Bedrock을 활용한 멀티모달 에이전트 기반 비즈니스 혁신.pdf
by
Amazon Web Services
[25D2S03]_Amazon Bedrock 신규 이미지·영상 생성 모델 - 개발자를 위한 실전 가이드와 데모.pdf
by
Amazon Web Services
[25D2S02]_Amazon Q Developer 로 AI기반 데이터 통합과 거버넌스 구축하기.pdf
by
Amazon Web Services
[25D2S05]_AGI 의 현실화 - Amazon Bedrock에서 Claude의 Computer Use 기능 탐구.pdf
by
Amazon Web Services
[25D2S06]_Amazon Bedrock으로 구현하는 멀티모달 데이터 자동화와 비정형 데이터 활용.pdf
by
Amazon Web Services
[25D2S08]_Amazon Bedrock과 SageMaker를 이용한 LLM 파인튜닝 및 커스터마이징 이해하기.pdf
by
Amazon Web Services
[25D2S10]_생성형 AI를 가속화하기 위한 데이터 기반 구축.pdf
by
Amazon Web Services
[D2T2S04] SageMaker를 활용한 Generative AI Foundation Model Training and Tuning
by
Amazon Web Services
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Amazon Web Services
Location
Gangnam-gu, Seoul, Korea Korea, South
Occupation
Database Specialist
Industry
Technology / Software / Internet
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![[25D3T2S07]_What's new_MySQL 8.4의 변화.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d3t2s07mysql8-250407140508-b1fe3475-thumbnail.jpg?width=640&height=640&fit=bounds)
![[25D2S07]_Amazon Nova를 이용해 향샹된 RAG 활용하기.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d2s07amazonnovarag-250403123346-b8e0a0a1-thumbnail.jpg?width=640&height=640&fit=bounds)
![[25D2S09]_Amazon Nova팀이 선택한 Amazon SageMaker HyperPod 활용하기.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d2s09amazonnovaamazonsagemakerhyperpod-250403123346-184ebeaa-thumbnail.jpg?width=640&height=640&fit=bounds)
![[25D2S04]_Amazon Nova와 Bedrock을 활용한 멀티모달 에이전트 기반 비즈니스 혁신.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d2s04amazonnovabedrock-250403123346-05c18ffa-thumbnail.jpg?width=640&height=640&fit=bounds)
![[25D2S03]_Amazon Bedrock 신규 이미지·영상 생성 모델 - 개발자를 위한 실전 가이드와 데모.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d2s03amazonbedrock-250403123345-13ccde36-thumbnail.jpg?width=640&height=640&fit=bounds)
![[25D2S02]_Amazon Q Developer 로 AI기반 데이터 통합과 거버넌스 구축하기.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d2s02amazonqdeveloperai-250403123345-74f273c6-thumbnail.jpg?width=640&height=640&fit=bounds)
![[25D2S05]_AGI 의 현실화 - Amazon Bedrock에서 Claude의 Computer Use 기능 탐구.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d2s05agi-amazonbedrockclaudecomputeruse-250403123344-e583f1a2-thumbnail.jpg?width=640&height=640&fit=bounds)
![[25D2S06]_Amazon Bedrock으로 구현하는 멀티모달 데이터 자동화와 비정형 데이터 활용.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d2s06amazonbedrock-250403123343-941a3c5a-thumbnail.jpg?width=640&height=640&fit=bounds)
![[25D2S08]_Amazon Bedrock과 SageMaker를 이용한 LLM 파인튜닝 및 커스터마이징 이해하기.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d2s08amazonbedrocksagemakerllm-250403123343-76e0215a-thumbnail.jpg?width=640&height=640&fit=bounds)
![[25D2S10]_생성형 AI를 가속화하기 위한 데이터 기반 구축.pdf](https://cdn.slidesharecdn.com/ss_thumbnails/25d2s10ai-250403123341-57c96faf-thumbnail.jpg?width=640&height=640&fit=bounds)
![[D2T2S04] SageMaker를 활용한 Generative AI Foundation Model Training and Tuning](https://cdn.slidesharecdn.com/ss_thumbnails/d2t2s04-customizingfmwithsagemaker-seouldataandairoadshow-240701082139-e561a9a6-thumbnail.jpg?width=640&height=640&fit=bounds)