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odevtube: 개발 관련 유튜브
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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
NLP 코기
2026-01-11
[EN] Solar Open 100B — Independent Foundation Model Special Series (Part 1)
NLP 코기
2026-01-11
[KO] Solar Open 100B - 독자 파운데이션 모델 특집 1
NLP 코기
2026-01-09
[EN] Let’s Dive into DeepSeek R1
NLP 코기
2026-01-09
[KO] Deep seek R1
NLP 코기
2025-12-28
[EN] Let’s Build an Agent for Writing Papers
NLP 코기
2025-12-28
[KO] 논문쓸 때 쓰는 Agent를 만들자
NLP 코기
2025-12-28
[KO] Let’s Remove the Layers That Don’t Do Any Work in LLMs
NLP 코기
2025-12-28
[KO] LLM에서 일안하는 레이어들을 없애자
NLP 코기
2025-12-23
[KO] OpenAI가 말하는 AI 시대의 엔지니어팀이 일하는 방법
NLP 코기
2025-12-23
[KO] How OpenAI Describes the Way Engineering Teams Work in the AI Era
NLP 코기
2025-12-17
[EN] A Game AI Agent That Plays Genshin Impact?
NLP 코기
2025-12-17
[KO] 원신을 플레이하는 게임 AI Agent?
NLP 코기
2025-12-17
[EN] Let’s Build a Computer-Use Agent
NLP 코기
2025-12-17
[KO] Computer Use Agent를 만들어보자
NLP 코기
2025-12-17
[EN] Can We Do Reasoning with Video Generation Models?
NLP 코기
2025-12-17
[KO] 비디오 생성모델로 Reasoning을 해보자?
NLP 코기
2025-12-14
[EN] If You’re Considering Deploying Agents in Production, You Must Watch This!
NLP 코기
2025-12-14
[KO] Agent를 상용을 고려하고 있다면 이 영상을 꼭 보셔야합니다! Agent운영의 철학:AgentOps
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odevtube: 개발 관련 유튜브
odevtube: 개발 관련 유튜브
![[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)
![[EN] Solar Open 100B — Independent Foundation Model Special Series (Part 1)](https://i.ytimg.com/vi/59L_EUVbUyg/mqdefault.jpg)
![[KO] Solar Open 100B - 독자 파운데이션 모델 특집 1](https://i.ytimg.com/vi/AfyaaMbdrPY/mqdefault.jpg)
![[EN] Let’s Dive into DeepSeek R1](https://i.ytimg.com/vi/Hw_eEPmwiyI/mqdefault.jpg)
![[KO] Deep seek R1](https://i.ytimg.com/vi/TbdUenTAEPQ/mqdefault.jpg)
![[EN] Let’s Build an Agent for Writing Papers](https://i.ytimg.com/vi/aR8qDfXJwHg/mqdefault.jpg)
![[KO] 논문쓸 때 쓰는 Agent를 만들자](https://i.ytimg.com/vi/PsHko5VVvQI/mqdefault.jpg)
![[KO] Let’s Remove the Layers That Don’t Do Any Work in LLMs](https://i.ytimg.com/vi/6KdYMDURsUE/mqdefault.jpg)
![[KO] LLM에서 일안하는 레이어들을 없애자](https://i.ytimg.com/vi/IA8nWYCQoxM/mqdefault.jpg)
![[KO] OpenAI가 말하는 AI 시대의 엔지니어팀이 일하는 방법](https://i.ytimg.com/vi/fArKnKH1QgE/mqdefault.jpg)
![[KO] How OpenAI Describes the Way Engineering Teams Work in the AI Era](https://i.ytimg.com/vi/OyV22AD-d_g/mqdefault.jpg)
![[EN] A Game AI Agent That Plays Genshin Impact?](https://i.ytimg.com/vi/HCkFlN9CaK8/mqdefault.jpg)
![[KO] 원신을 플레이하는 게임 AI Agent?](https://i.ytimg.com/vi/I8jBkY2TcA0/mqdefault.jpg)
![[EN] Let’s Build a Computer-Use Agent](https://i.ytimg.com/vi/fSuLNxYVbRk/mqdefault.jpg)
![[KO] Computer Use Agent를 만들어보자](https://i.ytimg.com/vi/A0E1G_91Zkc/mqdefault.jpg)
![[EN] Can We Do Reasoning with Video Generation Models?](https://i.ytimg.com/vi/kPUfJYt_iy4/mqdefault.jpg)
![[KO] 비디오 생성모델로 Reasoning을 해보자?](https://i.ytimg.com/vi/DxMfIOPAzxE/mqdefault.jpg)
![[EN] If You’re Considering Deploying Agents in Production, You Must Watch This!](https://i.ytimg.com/vi/1GIuolJCM-Y/mqdefault.jpg)
![[KO] Agent를 상용을 고려하고 있다면 이 영상을 꼭 보셔야합니다! Agent운영의 철학:AgentOps](https://i.ytimg.com/vi/P61MkIzR5yg/mqdefault.jpg)
