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[AINews] 프론티어 랩에서 일자리를 얻는 방법 (사전학습 분야)
[AINews] How to land a job at a frontier lab (on Pretraining)
a quiet day before google i/o lets us amplify a notable blogpost
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지난 6개월 LLM의 모든 것을 5분으로
The last six months in LLMs in five minutes
<p>I put together these annotated slides from my five minute lightning talk at PyCon US 2026, using the <a href="https://tools.simonwillison.net/annotated-presentations">latest ite…
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임포트 AI 457: AI 스턱스넷; 저주받은 뮤온 최적화기; 긍정적 정렬
Import AI 457: AI stuxnet; cursed Muon optimizer; and positive alignment
Welcome to Import AI, a newsletter about AI research.
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Import AI 455: AI 시스템들이 자신들을 스스로 구축하기 시작할 것이다
Import AI 455: AI systems are about to start building themselves.
The first step towards recursive self improvement
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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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현대 LLM의 어텐션 변형 시각 가이드
A Visual Guide to Attention Variants in Modern LLMs
From MHA and GQA to MLA, sparse attention, and hybrid architectures
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LLM 연구논문: 2025년 목록 (7월~12월)
LLM Research Papers: The 2025 List (July to December)
In June, I shared a bonus article with my curated and bookmarked research paper lists to the paid subscribers who make this Substack possible.
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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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LLM 추론을 위한 강화학습의 현황
The State of Reinforcement Learning for LLM Reasoning
Understanding GRPO and New Insights from Reasoning Model Papers
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Claude 3.5 Sonnet으로 SWE-bench Verified의 기준을 높이다
Claude SWE-Bench Performance