@tekyiaye: #fyp #foryou 休みはまだけどね🥹💕

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Saturday 15 August 2026 13:12:43 GMT
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sos94543
sos945 :
♥sos945
2026-08-20 10:30:44
1
user956568989
ငပျင်း ထွေ... :
[စတစ်ကာ] 🥰🥰🥰
2026-08-16 03:06:51
1
saung9993
Saung.😘 :
ချစ်စရာလေးဗျာ
2026-08-15 13:24:41
1
user5115369053058
ဝေယဲစိုး :
Hi
2026-08-20 05:22:56
1
soe.win3351
Soe Win :
🥰🥰🥰🥰🥰
2026-08-16 13:53:38
1
wa.phyoe.myan
Wa Phyoe Myan :
မနိုင်ပူးဟေ့
2026-08-30 07:07:27
0
kozawzawzawzaw33333
အချစ်တက်ဆုံးသောလူသား :
🌹🌹🌹🌹
2026-08-16 12:32:28
1
v556546556
A :
မိုက်တယ်သဲ
2026-08-26 11:08:55
0
thankzinkyaw2011
ko.zaw :
လက်ကလေးလွှဲတာလေးကိုရင်တဲမာစွဲ..ရိုးရိုးလေးလှပုံလေးကိုတကယ်ဘဲအရမ်းချစ်
2026-08-23 04:36:37
0
pakpahanaseng
Roy pakpahan :
hallo
2026-08-15 13:29:37
1
resolution4kenvir
Cyee_ :
2026-08-15 15:08:02
1
p.t.aung5
☄️P🪐 :
ချစ်နေပိ🤭
2026-08-23 08:29:50
0
soe.lin3308
하늘🌦️⛄️ :
❤️
2026-08-25 08:12:38
0
bluesky4724
bluesky :
🥰🥰🥰🥰
2026-08-23 06:45:57
0
ko.mya.linn
Ko Mya Linn :
😁😁😁💋💋💋❤️❤️❤️❤️❤️ချစ်စယာလေနော
2026-08-23 02:08:35
0
pyae.phyo.mg128
Pyae Phyo mg :
2026-08-24 05:54:07
0
mgmyoo111111
<°_°>COLE! :
@😅😅
2026-08-21 17:42:54
0
ko.wai.towe
ko wai towe💓နေပြည်တော်❤ :
❤️
2026-08-21 13:12:06
0
zwe.khaung.khant14
@A&Ju Home™✓ :
ကျွန်တော်နံပတ်1idol🥰🥰🥰
2026-08-22 11:57:06
0
ahantmin.thaw
ကောင်းကင် ပြာပြာ :
ဘယ်သူသမီးလေးလဲသိဘူးနော်ချစ်ဖို့အရမ်းကောင်တယ်😄😄😄
2026-08-22 03:03:52
0
mzinwai
zin zin lay :
😃လွလွလွတယ္😃😄😁
2026-08-19 17:46:24
1
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Building AI agents is not just about writing better prompts. It requires an understanding of programming, machine learning, language models, data, tools, memory, orchestration, deployment and evaluation. 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗽𝗮𝘁𝗵   𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 Data types, control flow, logical decision-making and file handling.  𝗗𝗮𝘁𝗮 & 𝗧𝗼𝗼𝗹 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 LLM types, APIs, authentication and application integrations.  𝗠𝗟 & 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 Machine learning fundamentals, transformers, Mixture of Experts, fine-tuning and inference.  𝗣𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴 & 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 Structured prompting, task decomposition, planning, few-shot techniques and tool selection.  𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 & 𝗧𝗼𝗼𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 SQL, NoSQL, APIs, SaaS connectors, data extraction and pipelines.  𝗥𝗔𝗚, 𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗔𝗜 Embeddings, vector databases, retrieval pipelines, agent memory and reliable AI practices.  𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 Agent types, design patterns, orchestration, planning and feedback loops.  𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁, 𝗠𝗟𝗢𝗽𝘀 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 Testing, logging, performance, latency, reliability and cost optimisation.  𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 Specialised agents, communication patterns, handoffs and agent-to-agent protocols. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮 𝘁𝗼𝗼𝗹 𝘂𝗽𝗴𝗿𝗮𝗱𝗲. 𝗜𝘁 𝗶𝘀 𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘀𝗵𝗶𝗳𝘁. Which stage of this roadmap are you currently learning?
Building AI agents is not just about writing better prompts. It requires an understanding of programming, machine learning, language models, data, tools, memory, orchestration, deployment and evaluation. 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗽𝗮𝘁𝗵 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 Data types, control flow, logical decision-making and file handling. 𝗗𝗮𝘁𝗮 & 𝗧𝗼𝗼𝗹 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 LLM types, APIs, authentication and application integrations. 𝗠𝗟 & 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹𝘀 Machine learning fundamentals, transformers, Mixture of Experts, fine-tuning and inference. 𝗣𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴 & 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 Structured prompting, task decomposition, planning, few-shot techniques and tool selection. 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 & 𝗧𝗼𝗼𝗹 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 SQL, NoSQL, APIs, SaaS connectors, data extraction and pipelines. 𝗥𝗔𝗚, 𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗔𝗜 Embeddings, vector databases, retrieval pipelines, agent memory and reliable AI practices. 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 Agent types, design patterns, orchestration, planning and feedback loops. 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁, 𝗠𝗟𝗢𝗽𝘀 & 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 Testing, logging, performance, latency, reliability and cost optimisation. 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 Specialised agents, communication patterns, handoffs and agent-to-agent protocols. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗶𝘀 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮 𝘁𝗼𝗼𝗹 𝘂𝗽𝗴𝗿𝗮𝗱𝗲. 𝗜𝘁 𝗶𝘀 𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝘀𝗵𝗶𝗳𝘁. Which stage of this roadmap are you currently learning?

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