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엔비디아 코스모스 3, 네모트론 3 울트라, RTX 스파크
[AINews] NVIDIA Cosmos 3, Nemotron 3 Ultra, and RTX Spark
Jensen scores a huge win.
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PyTorch 프로파일링 (1부): torch.profiler 초보자 가이드
Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler
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PaddleOCR 3.5: Transformers 백엔드를 이용한 OCR 및 문서 파싱 작업
PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend
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AWS에서 기초 모델 학습 및 추론을 위한 구성 요소
Building Blocks for Foundation Model Training and Inference on AWS
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LLM 아키텍처를 이해하기 위한 내 워크플로우
My Workflow for Understanding LLM Architectures
A learning-oriented workflow for understanding new open-weight model releases
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Safetensors가 PyTorch 재단에 합류합니다
Safetensors is Joining the PyTorch Foundation
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팔콘 인식
Falcon Perception
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25개 종의 mRNA 언어 모델을 $165로 학습하기
Training mRNA Language Models Across 25 Species for $165
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TRL v1.0: 분야와 함께 성장하는 포스트-트레이닝 라이브러리
TRL v1.0: Post-Training Library Built to Move with the Field
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Qwen3을 처음부터 이해하고 구현하기
Understanding and Implementing Qwen3 From Scratch
A Detailed Look at One of the Leading Open-Source LLMs
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LLM 연구 논문: 2025년 목록 (1월~6월)
LLM Research Papers: The 2025 List (January to June)
A topic-organized collection of 200+ LLM research papers from 2025
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바닥부터 배우는 LLM 코딩: 완전한 강의
Coding LLMs from the Ground Up: A Complete Course
Why build LLMs from scratch? It's probably the best and most efficient way to learn how LLMs really work. Plus, many readers have told me they had a lot of fun doing it.
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언어 모델링 논문 목록 (논문 클럽 시작하기)
Language Modeling Reading List (to Start Your Paper Club)
Some fundamental papers and a one-sentence summary for each; start your own paper club!
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해석가능성 연구
Interpretability Research \ Anthropic