@mrnl2183: htawng Seng mangai ta / AI cover song #fyp #capcut #ကချင်သီချင်း #tiktok #trending

💸@LaHi&💰
💸@LaHi&💰
Open In TikTok:
Region: MM
Wednesday 14 October 2026 06:46:56 GMT
22630
1656
58
112

Music

Download

Comments

h.n.d.64
🥵ငါပိချက်🥵∆{H.N} :
Dum dik ai lo Bum ga de🥺🥺🥺
2026-10-24 09:56:29
1
sar.ra.a.love.god
sar ra a love god :
marit ai moi na u gawn ai nsen hpe 💕💕
2026-10-14 12:06:48
2
war.zin77
War Zin@@@@@ :
Dum ai[Teary eyed]
2026-10-14 16:21:18
1
chyinyulu5
🫶🏽🫶🏽 :
Dum ai moi na ten hpe🥺
2026-10-22 14:57:22
1
manmaw16
M,M Shayi a,San :
N,shung mangai Bai du sai.
2026-10-16 12:11:52
1
boystar879
Šhanĝhtiñ Äwnĝ :
full byin hkra nau mara ya rit le madat n law na
2026-10-16 04:12:05
1
ahgu.naw2
Ahgu Naw :
marit maroi she nga nga le..moi maprat hta gaw grai pyaw lai wa sai..
2026-10-16 14:17:11
1
di.labang
Di Labang :
nice
2026-10-14 10:23:01
1
gideonlk4
Gideon Lk :
ရဝမ်က ဘယ်လိုပါလာ သလဲ
2026-10-14 13:36:05
1
htu.tsai
Htu Tsai :
ye ju ga ba sai
2026-10-14 11:57:38
0
jd.ah.yaw
JD Ah Yaw :
အမြဲအားပေးတယ်ဆရာ
2026-10-15 02:04:03
1
seng2788
Nsai Swan Htet :
သီချင်းဘယ်လိုတင်လဲအကိုပြောပြပါကျေးဇူးပြုပြီးပြောပြပါ🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗🤗
2026-10-14 08:23:55
1
ab75747
AB :
mangai ta du wa sai i🍅🍅🥭🥭🍎🍎🍑🍑🥑🥑🥦🥦🍋🍋🍉🍉🍈🍈🍇🍇
2026-10-14 13:35:10
1
uoolov
ကိုကို :
❤️❤️
2026-10-14 14:22:07
1
janghkammating
Janghkam Ma Ting :
@[Like][Red heart][Big LOL]
2026-10-19 14:10:27
1
watch.watch65
ခ်ယ္ရီခ်စ္သူ :
2026-10-15 02:57:47
1
htoini996
htoini996 :
🥰🥰🥰
2026-10-20 14:34:03
1
ja.roi.lahtaw
Ja Roi Lahtaw :
🥰🥰🥰🥰
2026-10-17 13:52:03
1
daw.lu.mai50
Daw Lu Mai :
[Innocent][Innocent][Innocent]
2026-10-16 07:36:04
1
mn.nu.kasha
Mn Nu Kasha :
🥰🥰🥰
2026-10-16 08:22:13
1
user1944584452470
လမ်းပေါ်က နန်းတော် :
[Like][Like][Like]
2026-10-15 13:29:26
1
aungtun8912
နန်းဇိန်းခေါန်ဘောက် :
👍👍👍
2026-10-15 15:47:20
0
htoibu45
htoibu45 :
🥰🥰🥰
2026-10-15 13:53:21
1
ah.nyoi44
Ah Nyoi✍️စိတ်ညစ်တယ် :
🥰🥰🥰
2026-10-15 10:30:47
0
ma.seng.nann
ANHTONY :
🥰🥰🥰
2026-10-14 11:30:55
0
To see more videos from user @mrnl2183, please go to the Tikwm homepage.

Other Videos

Everyone's building AI agents. Few can explain what's inside one. Here are 9 AI agent concepts in one 8-second loop. 🤖 The model is the easy part. Everything around it decides whether your agent works. 🧠 1. Memory & State: memory recalls the past; state tracks where the task stands right now. 🎛️ 2. Orchestration: decides who does what, and in what order. 📚 3. RAG (retrieval-augmented generation): fetch the right docs, inject them into the prompt, give a grounded answer. 🔁 4. Harness: the loop that lets a model act: context → action → persist → control, repeated. 📏 5. Evals: score outputs against what you expected, then improve. Without them you're shipping on vibes. 🔌 6. MCP (Model Context Protocol): one open standard for connecting agents to tools and data. 📄 7. Skills: reusable instruction files (SKILL.md) an agent loads only when it needs them. 🤝 8. A2A (Agent2Agent protocol): an agent reads another agent's
Everyone's building AI agents. Few can explain what's inside one. Here are 9 AI agent concepts in one 8-second loop. 🤖 The model is the easy part. Everything around it decides whether your agent works. 🧠 1. Memory & State: memory recalls the past; state tracks where the task stands right now. 🎛️ 2. Orchestration: decides who does what, and in what order. 📚 3. RAG (retrieval-augmented generation): fetch the right docs, inject them into the prompt, give a grounded answer. 🔁 4. Harness: the loop that lets a model act: context → action → persist → control, repeated. 📏 5. Evals: score outputs against what you expected, then improve. Without them you're shipping on vibes. 🔌 6. MCP (Model Context Protocol): one open standard for connecting agents to tools and data. 📄 7. Skills: reusable instruction files (SKILL.md) an agent loads only when it needs them. 🤝 8. A2A (Agent2Agent protocol): an agent reads another agent's "agent card" to discover what it can do, then hands it tasks. 👥 9. Multi-agent systems: specialist agents sharing one task. 👀 What people miss: when an agent fails, it's usually not the model. It's a missing eval, a leaky harness, or the wrong context. Upgrading to a smarter model rarely fixes a broken loop. Better models raise the ceiling. Concepts 1–9 raise the floor. 📸 Screenshot this before your next AI engineering or system design interview. These 9 come up constantly. Follow @hackproduct for AI engineering concepts you can actually picture. ⚡ . . #AIagents #agenticAI #AIengineering #LLM #GenAI

About