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#machinelearning

AI가 선별한 아티클

5·ai-ml·기타·r/MachineLearning·2026. 05. 26.

Already 11 000 submissions for EMNLP? [D]

EMNLP에 제출된 논문 수가 지난해보다 급증했습니다.

EMNLP submissions have surged to 11,000, up from 8,000 last year.

#emnlp#conference#submissions#machinelearning
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6·ai-ml·기타·r/MachineLearning·2026. 05. 24.

Thermocompute constant time inference [P]

Thermocompute는 기계 학습을 빠르게 만드는 새로운 기술입니다.

Thermocompute is a new technology that makes machine learning faster.

#machinelearning#thermocompute
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6·ai-ml·분석·r/MachineLearning·2026. 05. 23.

I fine-tuned an LLM to be C-3PO to test which training data format works best for persona injection [P]

C-3PO처럼 행동하도록 LLM을 미세 조정한 실험 결과를 다룹니다.

The article discusses fine-tuning an LLM to behave like C-3PO and testing different training data formats.

#llm#chatbot#fine-tuning#lora#machinelearning
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4·other·기타·r/MachineLearning·2026. 05. 22.

COLM 2026 ReviewsDiscussion [D]

COLM 2026 리뷰에 대한 논의가 필요하다.

Discussion is needed about the reviews for COLM 2026.

#ai#reviews#machinelearning
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6·ai-ml·기타·r/MachineLearning·2026. 05. 22.

Live Human Detector on Outbound Phone Calls [R]

전화 통화에서 사람을 실시간으로 감지하는 도구에 대한 설명.

A tool that detects live humans during outbound phone calls.

#machinelearning#telephony#voice#audio#g711a
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4·ai-ml·기타·r/MachineLearning·2026. 05. 21.

Lisbon Machine Learning School (LxMLS 2026) [D]

리스본 머신러닝 스쿨에 대한 경험과 참가 여부에 대한 질문.

Question about experiences at Lisbon Machine Learning School and attending self-sponsored.

#machinelearning#lxmls#scholarship#lisbon#education
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3·other·기타·r/MachineLearning·2026. 05. 19.

LxMLS 2026 decision [D]

LxMLS 2026에 대한 지원자들의 업데이트 요청.

Request for updates from applicants to LxMLS 2026.

#machinelearning#lxmnl#community
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5·ai-ml·기타·r/MachineLearning·2026. 05. 19.

All fundamental knowledge in ML Course by Andrew NG that I noted and create into a repo github [R]

Andrew NG의 ML 과정에서 중요 지식을 정리한 GitHub 리포지토리 소개.

Introduction to a GitHub repo summarizing key concepts from Andrew NG's ML course.

#machinelearning#andrewng#github#ml#specialization
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6·other·기타·r/MachineLearning·2026. 05. 17.

Program misleading high school students into paying to perform academic misconduct in ML Research [D]

고교생들에게 학문적 부정행위를 유도하는 프로그램에 대한 비판.

Critique of a program misleading high school students into academic misconduct.

#neurips#algoverse#machinelearning#academicmisconduct#research
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7·ai-ml·기타·r/MachineLearning·2026. 05. 15.

It is the process of rapidly ever improving differentiation between noise and signal patterns and constant generalization of those that produces intelligence, not merely compression of data. [D]

AI 발전을 위해 본질적 목표를 갖춘 시스템 설계가 필요하다는 논의.

The need for a system with intrinsic goals for true AI advancement is discussed.

#automation#data#intelligence#machinelearning#productivity
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6·ai-ml·릴리즈·GeekNews·2026. 05. 15.

Supertonic 3 - 초경량 온디바이스 TTS 출시, 31개 언어 및 감정 태그 지원

Supertonic 3가 31개 언어와 감정 태그 지원으로 출시되었습니다.

Supertonic 3 has launched with support for 31 languages and emotion tags.

#tts#ondevice#emotiontags#languageprocessing#machinelearning
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8·database·분석·Dev.to·2026. 05. 13.

# The Algorithmic DBA: AI's Inroads into Database Query Optimization

AI가 데이터베이스 쿼리 최적화에 혁신을 일으키고 있다.

AI is revolutionizing database query optimization.

#machinelearning#mysql#amazon aurora#sql#rdbms
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8·ai-ml·릴리즈·r/MachineLearning·2026. 05. 12.

TabPFN-3 just released: a pre-trained tabular foundation model for up to 1M rows [R][N]

TabPFN-3이 출시되어 1M 행의 표 형식 데이터를 위한 사전 훈련된 모델을 제공합니다.

TabPFN-3 has been released, offering a pre-trained model for tabular data with up to 1M rows.

#tabpfn#h100#shap#autogluon#calibrated#quantile#regression#machinelearning#api
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5·ai-ml·기타·r/MachineLearning·2026. 05. 11.

Where are small Models like Qwen3 0.6B and Qwen3.5 0.8B used ? Huggingface shows 2.88 million downloads this month.[D]

Qwen3 모델의 사용 경험과 커뮤니티 활용을 논의한 내용입니다.

Discussion about user experience and community applications of Qwen3 models.

#qwen3#qwen3.5#json#semantics#machinelearning
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3·other·기타·r/MachineLearning·2026. 05. 09.

Anyone Trying to submit for ICML FM4LS workshop but noticed link closed Early? [D]

ICML FM4LS 워크숍 제출 마감이 일찍 종료된 문제를 논의하는 글입니다.

Discussion about early closure of submission link for ICML FM4LS workshop.

#openreview#icml#machinelearning
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4·ai-ml·기타·r/MachineLearning·2026. 05. 08.

NeurIPS reviewers, any word after the invite email? [D]

NeurIPS 리뷰어 초대 후 상황에 대한 질문.

Question about the situation after accepting NeurIPS reviewer invitation.

#neurips#ai#review#machinelearning#bidding
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8·ai-ml·분석·쿠팡 Engineering·2023. 11. 23.

쿠팡의 머신러닝 플랫폼을 통한 ML 개발 가속화

쿠팡의 ML 플랫폼이 머신러닝 개발을 가속화하고 있다.

Coupang's ML platform accelerates machine learning development.

#machinelearning#ecommerce#coupang#logistics#data
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8·ai-ml·분석·OpenAI Blog·2017. 08. 16.

More on Dota 2

Dota 2에서 자기 플레이가 머신러닝 성능을 향상시켰다는 내용.

Self-play in Dota 2 boosts machine learning performance to superhuman levels.

#dota2#machinelearning#selfplay#deeplearning
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모든 아티클을 불러왔습니다.