@e.luv_7: 붐바레@m.y1ax

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Wednesday 02 September 2026 06:51:50 GMT
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a.youzn_
신아영 :
존나웃기네
2026-09-04 09:00:47
13
kicozdrbgtw
쭌 :
오른쪽 개이쁘네
2026-09-02 22:38:44
24
alskdjhry
안뇽 :
오른쪽 키가 몇이에요????
2026-09-03 10:16:04
4
user1343374454180
이아이 :
오른쪽만 혼자 찍어주실순 없나요?
2026-09-03 01:06:14
15
m.ero014
제타내꺼 :
왼쪽 스펙 궁금해여
2026-09-04 10:51:52
2
yonsei._.newman1oficial
💐💖🫰♥️YONSEI NEWMAN<33😊💚🌹 :
그들은 자매인가요? 💗🥰
2026-09-03 11:07:22
4
user7331024498023
햄토리 :
여기 문산초 아닌가요?
2026-09-03 10:40:25
1
cinnamorolls25
ISFJ♡ :
혹시 두분 스펙이 어떻게 돼요?
2026-09-04 12:00:32
1
m.z0k__1
m.y1ax :
제가 오른쪽 입니다
2026-09-04 08:05:57
7
j_xo.n
지윤 :
오른쪽 스펙 뭔가요 ??
2026-09-03 12:20:48
1
user5094429310657
진우 :
회색바지 나이스
2026-09-04 17:15:41
1
ie.xwn0
ie.xwn0 :
수수형현
2026-09-04 08:04:10
1
dyrmmonpa0p0
나리 :
아가들귀여워🥰맘마사주고파
2026-09-04 04:11:45
2
user9440603980281
버블티 :
울 학교네
2026-09-04 15:46:10
1
user598394935571
쩡 :
ㅋㅋ
2026-09-02 10:55:48
2
s1.yxnr
s1.yxnr :
떡상한 은비 ㄷㄷ
2026-09-02 14:27:59
2
user47925790
미친웰시코기 :
👍
2026-09-03 00:36:34
1
m.z0k__1
m.y1ax :
이걸 올리는 조은비.
2026-09-02 11:08:04
2
amu_.x
Instagram사용자 :
오른쪽 비율쩔어요
2026-09-02 12:56:10
2
s1.yxnr
s1.yxnr :
2026-09-02 06:57:33
1
2xniols_
시윤 :
내새꾸들❤️
2026-09-05 10:37:41
2
nobu04020
のぶでーす☕️💤🫧 :
可愛すぎる😙🩷
2026-09-04 21:50:48
1
.368800
시윤 :
오른쪽 키 크당
2026-09-05 10:52:02
0
nc96654
nc팬임 :
추천이요
2026-09-04 16:23:41
1
user18151824968688
지아 :
ㅋㅋ
2026-09-02 08:00:40
1
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Other Videos

A chain goes forward. A graph can go back. That's the whole difference. ⚡ Most people can't explain LangChain vs LangGraph vs LangSmith because they're described as three parts of one thing. They're not. They're three different kinds of thing. 🟢 LANGCHAIN — the framework Models, tools, retrievers, parsers. High-level abstractions for the common patterns. Reach for it to ship fast. The catch: a chain is a DAG. It only goes one direction. 🔵 LANGGRAPH — the runtime State, edges, loops, pauses. Durable execution and persistence. You encode your domain knowledge in the graph's topology instead of hoping the model figures it out. Reach for it the moment you need to go back and try again. 🟣 LANGSMITH — the platform Traces, evals, prompts. Zero-config — a few env vars, no OTel plumbing. 👀 The one nobody says: LangSmith is framework-agnostic. Every diagram draws it wrapped around LangGraph like it's part of that stack. It isn't. You can trace a custom agent with zero LangChain in it. That's the point of it. 🤖 SO BUILD A MARKETING AGENT brief → research → plan → create → review → on brand? If NO, the graph routes back to create. Attempt 2. A chain physically cannot do this — you'd be writing a while loop around it and losing your state. If YES, interrupt() pauses for human approval. One line. The agent resumes exactly where it left off. Meanwhile LangSmith caught all 6 spans: 10.1 seconds, and it shows you the retry cost you 3.1s. 🎯 The rule: if your agent never needs to go backwards, you don't need a graph. The second it does, you were always going to need one. 📸 Screenshot it before your next architecture call. Follow @hackproduct — we turn scary AI-engineering concepts into things you can ship. ⚡ . . #langchain #langgraph #langsmith #AIagents #AIengineering
A chain goes forward. A graph can go back. That's the whole difference. ⚡ Most people can't explain LangChain vs LangGraph vs LangSmith because they're described as three parts of one thing. They're not. They're three different kinds of thing. 🟢 LANGCHAIN — the framework Models, tools, retrievers, parsers. High-level abstractions for the common patterns. Reach for it to ship fast. The catch: a chain is a DAG. It only goes one direction. 🔵 LANGGRAPH — the runtime State, edges, loops, pauses. Durable execution and persistence. You encode your domain knowledge in the graph's topology instead of hoping the model figures it out. Reach for it the moment you need to go back and try again. 🟣 LANGSMITH — the platform Traces, evals, prompts. Zero-config — a few env vars, no OTel plumbing. 👀 The one nobody says: LangSmith is framework-agnostic. Every diagram draws it wrapped around LangGraph like it's part of that stack. It isn't. You can trace a custom agent with zero LangChain in it. That's the point of it. 🤖 SO BUILD A MARKETING AGENT brief → research → plan → create → review → on brand? If NO, the graph routes back to create. Attempt 2. A chain physically cannot do this — you'd be writing a while loop around it and losing your state. If YES, interrupt() pauses for human approval. One line. The agent resumes exactly where it left off. Meanwhile LangSmith caught all 6 spans: 10.1 seconds, and it shows you the retry cost you 3.1s. 🎯 The rule: if your agent never needs to go backwards, you don't need a graph. The second it does, you were always going to need one. 📸 Screenshot it before your next architecture call. Follow @hackproduct — we turn scary AI-engineering concepts into things you can ship. ⚡ . . #langchain #langgraph #langsmith #AIagents #AIengineering

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