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🥀 :

why are you getting so personal

2026-10-09 19:31:15

2

husbandkobechkarbmwlugi :

Need cool peeps for gc 🥀🥰

2026-10-07 18:37:09

1

Virda gul :

@kiya howw hai??

2026-10-08 22:02:05

0

🧸 :

🫠🥀

2026-10-07 20:12:56

3

❀ Eman Bajwa❀ :

میرے دماغ میں درد ہو رہا

2026-10-08 01:19:22

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س :

2026-10-08 12:28:08

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🦢 :

🙂😭

2026-10-07 19:16:03

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S💫 :

Overcare is just a joke

2026-10-09 13:22:12

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Danella Becirevic :

🛸🚐

2026-10-08 14:53:41

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AحmaD :

🫠

2026-10-08 07:33:35

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🚩 :

🫠🙂🥀

2026-10-08 02:21:36

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Saru :

🥲💔

2026-10-08 01:04:08

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R. :

🥀

2026-10-08 10:25:23

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Mood hiện tại: đang recharge với Kitkat cùng Beso tại Thiso Mall #KitKat #NghiXaHoi #XoiKitKat #BàiđăngđượctàitrợbởiNestléViệtNam

Mood hiện tại: đang recharge với Kitkat cùng Beso tại Thiso Mall #KitKat #NghiXaHoi #XoiKitKat #BàiđăngđượctàitrợbởiNestléViệtNam

her best character is always the next one || scp drxmasceness #100daysofdeception #kimyoojung #leegakyung #kdrama #edit kdrama edit lee gakyung 100 days of deception kim youjung foryou page fyp original content | fake everything | high quality edit

her best character is always the next one || scp drxmasceness #100daysofdeception #kimyoojung #leegakyung #kdrama #edit kdrama edit lee gakyung 100 days of deception kim youjung foryou page fyp original content | fake everything | high quality edit

🌳 The LLM Cost Tree: Optimize Outcomes, Not Tokens Most teams try to reduce AI costs by negotiating cheaper tokens. That helps—but it rarely fixes the real problem. Your actual cost is closer to: Cost per success = tokens × model price × retries × tool loops A “cheap” model becomes expensive when it needs three retries. A smaller prompt becomes irrelevant if an agent loops 20 times. A powerful model is wasteful when the task only needs classification or extraction. The smarter approach is to optimize the entire execution path. ⚙️ 🧠 Spend less per call Use smaller models for predictable tasks, route by complexity, and escalate only when confidence is low. 📚 Send fewer tokens Trim irrelevant history, summarize long conversations, and retrieve only the evidence required for the current task. ✍️ Generate less Set output ceilings, request structured responses, and use deterministic tools when reasoning adds no value. ⚡ Avoid repeated work Cache exact responses, reusable prompt prefixes, and semantically equivalent requests. 🛡️ Control execution Batch asynchronous workloads, cap agent turns and tool calls, enforce timeouts, and track the cost of successful outcomes. The important engineering principle: The cheapest token does not guarantee the cheapest completed task. Measure what actually reaches production: ✅ Task success rate ✅ End-to-end latency ✅ Tokens consumed ✅ Tool calls and retries ✅ Human-review time ✅ Cost per successful outcome Because production AI optimization isn’t about making every request cheap. It’s about spending intelligence only where intelligence creates value. 🌱 Save this tree for your next AI architecture or cost-review meeting. 📌 #HackProduct #AIEngineering #LLM #GenerativeAI #AgenticAI

🌳 The LLM Cost Tree: Optimize Outcomes, Not Tokens Most teams try to reduce AI costs by negotiating cheaper tokens. That helps—but it rarely fixes the real problem. Your actual cost is closer to: Cost per success = tokens × model price × retries × tool loops A “cheap” model becomes expensive when it needs three retries. A smaller prompt becomes irrelevant if an agent loops 20 times. A powerful model is wasteful when the task only needs classification or extraction. The smarter approach is to optimize the entire execution path. ⚙️ 🧠 Spend less per call Use smaller models for predictable tasks, route by complexity, and escalate only when confidence is low. 📚 Send fewer tokens Trim irrelevant history, summarize long conversations, and retrieve only the evidence required for the current task. ✍️ Generate less Set output ceilings, request structured responses, and use deterministic tools when reasoning adds no value. ⚡ Avoid repeated work Cache exact responses, reusable prompt prefixes, and semantically equivalent requests. 🛡️ Control execution Batch asynchronous workloads, cap agent turns and tool calls, enforce timeouts, and track the cost of successful outcomes. The important engineering principle: The cheapest token does not guarantee the cheapest completed task. Measure what actually reaches production: ✅ Task success rate ✅ End-to-end latency ✅ Tokens consumed ✅ Tool calls and retries ✅ Human-review time ✅ Cost per successful outcome Because production AI optimization isn’t about making every request cheap. It’s about spending intelligence only where intelligence creates value. 🌱 Save this tree for your next AI architecture or cost-review meeting. 📌 #HackProduct #AIEngineering #LLM #GenerativeAI #AgenticAI

#katakata #storyvoli #4u #katakatavoli #motivasi

#katakata #storyvoli #4u #katakatavoli #motivasi

Estudiantes del Instituto Tecnológico de Estudios Superiores de Occidente (ITESO) reclamaron al gobernador emecista Pablo Lemus la mala calidad del agua en la zona metropolitana, la inseguridad que prevalece en el estado y las tarifas del transporte público, durante una visita que el político realizó la tarde de este jueves a la institución.

Estudiantes del Instituto Tecnológico de Estudios Superiores de Occidente (ITESO) reclamaron al gobernador emecista Pablo Lemus la mala calidad del agua en la zona metropolitana, la inseguridad que prevalece en el estado y las tarifas del transporte público, durante una visita que el político realizó la tarde de este jueves a la institución.

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