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odevtube: 개발 관련 유튜브
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NLP 코기
2026-03-22
[EN] Unified Encoder for point clouds
NLP 코기
2026-03-22
[KO] Point Cloud를 위한 통합 인코더
NLP 코기
2026-03-22
[EN] Let's do test-time scaling better way for Image Editing.
NLP 코기
2026-03-22
[KO] 이미지 에디팅 test-time scaling을 잘해봅시다
NLP 코기
2026-03-07
[EN] AI That Generates Vector Animations (OmniLottie)
NLP 코기
2026-03-07
[KO] 텍스트로 벡터 애니메이션을 만든다고? (OmniLottie)
NLP 코기
2026-03-07
[EN] Less is Enough: Feature-Space Data Synthesis for LLMs
NLP 코기
2026-03-07
[KO] Less is Enough: LLM 데이터 다양성의 새로운 기준 FAC
NLP 코기
2026-03-07
[EN] Do LLMs Know When to Stop Thinking? (Surprising Paper Result)
NLP 코기
2026-03-07
[KO] LLM은 언제 리즈닝을 멈춰야할지 알고 있을까?
NLP 코기
2026-03-07
[EN] A Very Big Video Reasoning Suite
NLP 코기
2026-03-07
[KO] 엄청 큰 비디오 추론 데이터 모음집
NLP 코기
2026-03-07
[EN] Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
NLP 코기
2026-03-07
[KO] LLM을 SFT할 때 꼭 강한 teacher 모델이 필요한건 아니다.
NLP 코기
2026-03-07
[EN] MOVA: Towards Scalable and Synchronized Video–Audio Generation
NLP 코기
2026-03-07
[KO] MOVA: Text to Video & Audio 모델
NLP 코기
2026-03-04
[KO] GRRM: Group Relative Reward Modeling for Machine Translation
NLP 코기
2026-03-04
[KO] Self-Improving Multilingual Long Reasoning via Translation-Reasoning Integrated Training
NLP 코기
2026-02-25
[KO] Figure 이걸로 만들자. Paper Banana.
NLP 코기
2026-02-25
[EN] Let's make figures with AI. Paper Banana
NLP 코기
2026-02-25
[EN] Why are you guys do deep research only on text, this is visual feature era though.
NLP 코기
2026-02-25
[KO] 왜 Deep Research를 텍스트로만 하니? 시각 정보로도 하자
NLP 코기
2026-02-25
[EN] Let's earn money with AI Quant
NLP 코기
2026-02-25
[EN] Kimi K2.5
NLP 코기
2026-02-25
[KO] Kimi K2.5
NLP 코기
2026-02-25
[KO] AI 퀀트로 돈벌자
NLP 코기
2026-02-25
[EN] Translation Reasoning Model
NLP 코기
2026-02-25
[KO] 번역 리즈닝 모델
NLP 코기
2026-02-25
[En] GUI World Model
NLP 코기
2026-02-25
[KO] GUI 월드 모델
NLP 코기
2026-02-11
[EN] How Well Do Large Reasoning Models Translate?A Comprehensive Evaluation for Multi-Domain ...
NLP 코기
2026-02-11
[KO] How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain
NLP 코기
2026-02-11
[EN] Prompting Large Language Model for Machine Translation: A Case Study
NLP 코기
2026-02-11
[KO] Prompting Large Language Model for Machine Translation: A Case Study
NLP 코기
2026-02-11
[EN] Translating Step-by-Step: Decomposing the Translation Process for Improved Translation ...
NLP 코기
2026-02-11
[KO] Translating Step-by-Step: Decomposing the Translation Process forImproved Translation ...
NLP 코기
2026-01-29
[EN] K2-V2: A 360-Open, Reasoning-Enhanced LLM
NLP 코기
2026-01-29
[KO] K2-V2: A 360-Open, Reasoning-Enhanced LLM
NLP 코기
2026-01-29
[EN] Olmo 3
NLP 코기
2026-01-29
[KO] Olmo 3
NLP 코기
2026-01-29
[EN] TranslateGemma Technical Report
NLP 코기
2026-01-29
[KO] TranslateGemma Technical Report
NLP 코기
2026-01-29
[EN] Youtu-LLM: Unlocking the Native Agentic Potential forLightweight Large Language Models
NLP 코기
2026-01-29
[KO] Youtu-LLM: Unlocking the Native Agentic Potential forLightweight Large Language Models
NLP 코기
2026-01-29
[EN] GDPO: Group reward-Decoupled NormalizationPolicy Optimization for Multi-reward RLOptimization
NLP 코기
2026-01-29
[KO] GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
NLP 코기
2026-01-21
[EN] Youtu-Agent: Scaling Agent Productivity withAutomated Generation and Hybrid Policy Optimization
NLP 코기
2026-01-21
[KO] Youtu-Agent: Scaling Agent Productivity withAutomated Generation and Hybrid Policy Optimization
NLP 코기
2026-01-21
[EN] mHC: Manifold-Constrained Hyper-Connection
NLP 코기
2026-01-21
[KO] mHC: Manifold-Constrained Hyper-Connection
NLP 코기
2026-01-21
[EN] Naver Cloud HyperCLOVA X 32B Think — Independent Foundation Model Special Series (Part 5-2)
NLP 코기
2026-01-21
[KO] Naver Cloud HyperCLOVA X 32B Think - 독자 파운데이션 모델 특집 5-2
NLP 코기
2026-01-21
[EN] Naver Cloud HyperCLOVA X Omni 8B — Independent Foundation Model Special Series (Part 5-1)
NLP 코기
2026-01-21
[KO] Naver Cloud HyperClova X Omni 8B - 독자 파운데이션 모델 특집 5-1
NLP 코기
2026-01-21
[EN] NC AI VAETKI Technical Report — Independent Foundation Model Special Series (Part 4)
NLP 코기
2026-01-21
[KO] NC AI VAETKI Technical Report- 독자 파운데이션 모델 특집 4
NLP 코기
2026-01-11
[EN] SKT A.X K1 — Independent Foundation Model Special Series (Part 3)
NLP 코기
2026-01-11
[KO] SKT A.X K1 - 독자 파운데이션 모델 특집 3
NLP 코기
2026-01-11
[EN] K-EXAONE — Independent Foundation Model Special Series (Part 2)
NLP 코기
2026-01-11
[KO] K-EXAONE - 독자 파운데이션 모델 특집 2
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odevtube: 개발 관련 유튜브
odevtube: 개발 관련 유튜브
![[EN] Unified Encoder for point clouds](https://i.ytimg.com/vi/z9DedRRzLr4/mqdefault.jpg)
![[KO] Point Cloud를 위한 통합 인코더](https://i.ytimg.com/vi/HvBzMWk1zA4/mqdefault.jpg)
![[EN] Let's do test-time scaling better way for Image Editing.](https://i.ytimg.com/vi/HI_mZeLT9VA/mqdefault.jpg)
![[KO] 이미지 에디팅 test-time scaling을 잘해봅시다](https://i.ytimg.com/vi/LRwIgYkBNxQ/mqdefault.jpg)
![[EN] AI That Generates Vector Animations (OmniLottie)](https://i.ytimg.com/vi/3Towt_lBOLI/mqdefault.jpg)
![[KO] 텍스트로 벡터 애니메이션을 만든다고? (OmniLottie)](https://i.ytimg.com/vi/yQGzrazy-QQ/mqdefault.jpg)
![[EN] Less is Enough: Feature-Space Data Synthesis for LLMs](https://i.ytimg.com/vi/ew0SkTEsPMw/mqdefault.jpg)
![[KO] Less is Enough: LLM 데이터 다양성의 새로운 기준 FAC](https://i.ytimg.com/vi/lwbIUZ0qn6E/mqdefault.jpg)
![[EN] Do LLMs Know When to Stop Thinking? (Surprising Paper Result)](https://i.ytimg.com/vi/5NjcK1q53u4/mqdefault.jpg)
![[KO] LLM은 언제 리즈닝을 멈춰야할지 알고 있을까?](https://i.ytimg.com/vi/_qHUD_ndYkQ/mqdefault.jpg)
![[EN] A Very Big Video Reasoning Suite](https://i.ytimg.com/vi/41ZzJATVaTI/mqdefault.jpg)
![[KO] 엄청 큰 비디오 추론 데이터 모음집](https://i.ytimg.com/vi/fbHhg3YjKK4/mqdefault.jpg)
![[EN] Weak-Driven Learning: How Weak Agents make Strong Agents Stronger](https://i.ytimg.com/vi/UOQ732Ztia4/mqdefault.jpg)
![[KO] LLM을 SFT할 때 꼭 강한 teacher 모델이 필요한건 아니다.](https://i.ytimg.com/vi/zwUDlHbE7to/mqdefault.jpg)
![[EN] MOVA: Towards Scalable and Synchronized Video–Audio Generation](https://i.ytimg.com/vi/KRLZcYvDWEE/mqdefault.jpg)
![[KO] MOVA: Text to Video & Audio 모델](https://i.ytimg.com/vi/6XjNmziyaFU/mqdefault.jpg)
![[KO] GRRM: Group Relative Reward Modeling for Machine Translation](https://i.ytimg.com/vi/5FCCol-762o/mqdefault.jpg)
![[KO] Self-Improving Multilingual Long Reasoning via Translation-Reasoning Integrated Training](https://i.ytimg.com/vi/L0e7mX8jkSI/mqdefault.jpg)
![[KO] Figure 이걸로 만들자. Paper Banana.](https://i.ytimg.com/vi/IMXoEC5_N0A/mqdefault.jpg)
![[EN] Let's make figures with AI. Paper Banana](https://i.ytimg.com/vi/Phvk0B8J458/mqdefault.jpg)
![[EN] Why are you guys do deep research only on text, this is visual feature era though.](https://i.ytimg.com/vi/idA35NfCE4A/mqdefault.jpg)
![[KO] 왜 Deep Research를 텍스트로만 하니? 시각 정보로도 하자](https://i.ytimg.com/vi/N38kmpprw9w/mqdefault.jpg)
![[EN] Let's earn money with AI Quant](https://i.ytimg.com/vi/4xAKVj7O_xk/mqdefault.jpg)
![[EN] Kimi K2.5](https://i.ytimg.com/vi/vwuWjhP_Syk/mqdefault.jpg)
![[KO] Kimi K2.5](https://i.ytimg.com/vi/dvAhFcCQOFg/mqdefault.jpg)
![[KO] AI 퀀트로 돈벌자](https://i.ytimg.com/vi/0WEqVRXmGdY/mqdefault.jpg)
![[EN] Translation Reasoning Model](https://i.ytimg.com/vi/bf-RhOQqXKM/mqdefault.jpg)
![[KO] 번역 리즈닝 모델](https://i.ytimg.com/vi/188TBnNzwY8/mqdefault.jpg)
![[En] GUI World Model](https://i.ytimg.com/vi/Of_tFQ5fC8o/mqdefault.jpg)
![[KO] GUI 월드 모델](https://i.ytimg.com/vi/K7J_2ObtEAg/mqdefault.jpg)
![[EN] How Well Do Large Reasoning Models Translate?A Comprehensive Evaluation for Multi-Domain ...](https://i.ytimg.com/vi/388_hNqkLdM/mqdefault.jpg)
![[KO] How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain](https://i.ytimg.com/vi/tzmp6YLYkTo/mqdefault.jpg)
![[EN] Prompting Large Language Model for Machine Translation: A Case Study](https://i.ytimg.com/vi/bSisDrrxGmU/mqdefault.jpg)
![[KO] Prompting Large Language Model for Machine Translation: A Case Study](https://i.ytimg.com/vi/z7ryvZS-3O0/mqdefault.jpg)
![[EN] Translating Step-by-Step: Decomposing the Translation Process for Improved Translation ...](https://i.ytimg.com/vi/NjnvMvNbj7A/mqdefault.jpg)
![[KO] Translating Step-by-Step: Decomposing the Translation Process forImproved Translation ...](https://i.ytimg.com/vi/9obrDNTRrRc/mqdefault.jpg)
![[EN] K2-V2: A 360-Open, Reasoning-Enhanced LLM](https://i.ytimg.com/vi/wuve8aDZkYY/mqdefault.jpg)
![[KO] K2-V2: A 360-Open, Reasoning-Enhanced LLM](https://i.ytimg.com/vi/U_XEmBsALB0/mqdefault.jpg)
![[EN] Olmo 3](https://i.ytimg.com/vi/x-v6vseVvCU/mqdefault.jpg)
![[KO] Olmo 3](https://i.ytimg.com/vi/lu0IvGamA2k/mqdefault.jpg)
![[EN] TranslateGemma Technical Report](https://i.ytimg.com/vi/0H_PJ8Uod-4/mqdefault.jpg)
![[KO] TranslateGemma Technical Report](https://i.ytimg.com/vi/XLhi3bkK6-U/mqdefault.jpg)
![[EN] Youtu-LLM: Unlocking the Native Agentic Potential forLightweight Large Language Models](https://i.ytimg.com/vi/ToF-XbjcdEg/mqdefault.jpg)
![[KO] Youtu-LLM: Unlocking the Native Agentic Potential forLightweight Large Language Models](https://i.ytimg.com/vi/bdl8NyIBzSY/mqdefault.jpg)
![[EN] GDPO: Group reward-Decoupled NormalizationPolicy Optimization for Multi-reward RLOptimization](https://i.ytimg.com/vi/z6mg7d_kIpU/mqdefault.jpg)
![[KO] GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization](https://i.ytimg.com/vi/zyCzZD0d0Zk/mqdefault.jpg)
![[EN] Youtu-Agent: Scaling Agent Productivity withAutomated Generation and Hybrid Policy Optimization](https://i.ytimg.com/vi/XhlJqDsHu5A/mqdefault.jpg)
![[KO] Youtu-Agent: Scaling Agent Productivity withAutomated Generation and Hybrid Policy Optimization](https://i.ytimg.com/vi/i_4LF189XUs/mqdefault.jpg)
![[EN] mHC: Manifold-Constrained Hyper-Connection](https://i.ytimg.com/vi/8yVHzIAGTpk/mqdefault.jpg)
![[KO] mHC: Manifold-Constrained Hyper-Connection](https://i.ytimg.com/vi/stq4rRCOpj4/mqdefault.jpg)
![[EN] Naver Cloud HyperCLOVA X 32B Think — Independent Foundation Model Special Series (Part 5-2)](https://i.ytimg.com/vi/8P8UHRPh-4k/mqdefault.jpg)
![[KO] Naver Cloud HyperCLOVA X 32B Think - 독자 파운데이션 모델 특집 5-2](https://i.ytimg.com/vi/C7jFhiV7OPQ/mqdefault.jpg)
![[EN] Naver Cloud HyperCLOVA X Omni 8B — Independent Foundation Model Special Series (Part 5-1)](https://i.ytimg.com/vi/VarkIa7w0xk/mqdefault.jpg)
![[KO] Naver Cloud HyperClova X Omni 8B - 독자 파운데이션 모델 특집 5-1](https://i.ytimg.com/vi/0btg0PB_U_Q/mqdefault.jpg)
![[EN] NC AI VAETKI Technical Report — Independent Foundation Model Special Series (Part 4)](https://i.ytimg.com/vi/8ldA3UI-WKI/mqdefault.jpg)
![[KO] NC AI VAETKI Technical Report- 독자 파운데이션 모델 특집 4](https://i.ytimg.com/vi/ubhnsIjETBA/mqdefault.jpg)
![[EN] SKT A.X K1 — Independent Foundation Model Special Series (Part 3)](https://i.ytimg.com/vi/vyNmj7cG_00/mqdefault.jpg)
![[KO] SKT A.X K1 - 독자 파운데이션 모델 특집 3](https://i.ytimg.com/vi/vO0PqL2h9Cg/mqdefault.jpg)
![[EN] K-EXAONE — Independent Foundation Model Special Series (Part 2)](https://i.ytimg.com/vi/1A4TtqSAfjk/mqdefault.jpg)
![[KO] K-EXAONE - 독자 파운데이션 모델 특집 2](https://i.ytimg.com/vi/3jXiY0MvMQI/mqdefault.jpg)
