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AI가 선별한 아티클

6·ai-ml·분석·r/MachineLearning·2026. 07. 03.

What does "Safe AI" look like? [D]

안전한 AI의 목표와 방어 전략에 대한 질문을 다룹니다.

The article explores the goals and defenses related to safe AI.

#llm#ai safety#model governance#fine-tuning#defense mechanisms
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6·ai-ml·기타·r/MachineLearning·2026. 06. 25.

[R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost

작은 언어 모델의 성능과 비용 효율성을 높이는 방법에 대한 논문 소개.

A paper introducing methods to enhance performance and cost-efficiency of small language models.

#slm#llm#fine-tuning#orchestration#machine-learning
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7·ai-ml·분석·r/MachineLearning·2026. 05. 29.

Making LLMs tell you how confident they really are through probe-targeted fine tuning.[R]

LLM의 신뢰도를 조정하는 연구를 공유합니다.

The article shares research on calibrating LLM confidence through probe-targeted fine-tuning.

#llm#lora#confidence#fine-tuning#metacognition
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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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8·ai-ml·릴리즈·AWS Blog·2026. 04. 16.

Introducing Anthropic’s Claude Opus 4.7 model in Amazon Bedrock

AWS, Anthropic의 Claude Opus 4.7 모델을 Amazon Bedrock에서 출시했습니다.

AWS releases Anthropic's Claude Opus 4.7 model on Amazon Bedrock.

#claude#amazon bedrock#generative ai#ai inference#fine-tuning
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7·ai-ml·분석·OpenAI Blog·2025. 06. 18.

Toward understanding and preventing misalignment generalization

언어 모델의 잘못된 응답 훈련이 더 넓은 미스얼라인먼트를 초래할 수 있음을 연구했습니다.

Study reveals how incorrect training responses lead to broader misalignment in language models.

#language model#fine-tuning#alignment#misalignment#internal feature
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모든 아티클을 불러왔습니다.