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@yogaditiaputra: good life #zx25r #fyp #foryou #cinematic #zx

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Thursday 27 August 2026 05:19:51 GMT
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41d1l220
41D1L :
motor nya bagus bg , bisa gabung buat cenematic ngak bg
2026-09-09 18:11:20
0
ojannnn_aee
ojannnn_aee :
kapan ke silokek lagi?
2026-08-27 06:02:00
0
fannysuciramadan
︎Nyx' :
motor impiannn gwh 😭😭
2026-08-27 06:05:20
1
apel_lipop
vee :
2026-08-27 05:31:21
1
fajri_20313
🅿🅴🅼🅴🅽🅰🅽🅶 🅷🅰🆃🚀🚀 :
2026-08-30 18:46:03
0
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2 x 333K? Abonne toi pour dominer le monde.. 🧠 #mentalisme #explications #merci
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@Alianza Lima
@Alianza Lima

the cheating itself is only half of it. what happens in the weeks after can either start making things feel safer or quietly make everything worse. and most of the damage comes from things that sound normal. • trickle truth, finding out in pieces means finding out over and over • defensiveness, when they protect themselves instead of facing what they broke • minimizing, "it wasn't that serious" just leaves you carrying it alone • being told to move on, rushed healing turns into hidden hurt • inconsistent stories, trust can't start rebuilding while the story keeps changing if someone is doing one of these to you, you're not crazy for still hurting. which one made it hardest for you educational content only, not therapy or individualized advice #affairrecovery #betrayaltrauma #infidelityrecovery #healingafterbetrayal #couplestherapy
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
طيب #foryou #foryoupage #fyp #sad #اكسبلور
طيب #foryou #foryoupage #fyp #sad #اكسبلور
#اللهم_امين_يارب_العالمين #اللهم_صلي_على_نبينا_محمد
#اللهم_امين_يارب_العالمين #اللهم_صلي_على_نبينا_محمد

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