@nadineabgail:

BTR Nadine

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Saturday 26 October 2024 06:36:31 GMT

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.. :

အကြီးကြီးပဲ 😳

2024-10-28 03:04:46

2

jmbut goreng :

kau sempurna "Nadine"

2024-10-26 06:45:29

174

Prince Nelvim :

so cute

2024-10-26 06:56:53

3

Onlysya🫧 :

Cece 18th

2024-10-26 07:06:32

2

Inji :

apa tuh apa tuh

2024-10-26 11:34:50

32

Mark Gabriel :

nadine 🥰

2024-10-26 11:31:30

1

𝙮𝙤𝙪 𝙣𝙚𝙫𝙚𝙧 𝙠𝙣𝙤𝙬 :

tag akun aslinya bro

2024-10-27 05:35:19

10

atasnama040 :

wihh😁

2024-10-26 06:38:27

2

Sztrio :

btr kalah din😭😭

2024-10-26 16:30:22

1

Mr. TUTON :

sebelum ribuan

2024-10-26 06:43:21

1

Gabriel.q :

halo dine

2024-10-26 06:41:07

1

Fatir🎮 :

btr kalah kak😞

2024-10-27 04:50:08

1

Ꮓυ𝚞𝕝𝕝ズル :

Harusnya centang biru akunya

2024-10-26 11:16:04

1

FahriiNI :

yaa aallahhh cantik bangett

2024-10-27 13:20:59

1

CROUCH√ :

masih baru bikin

2024-10-26 06:40:27

1

smits :

halo

2024-10-26 07:21:59

2

Nolan_aj5 :

Nadine sapa donggh

2024-10-26 07:45:53

19

Pare De Coco :

beberapan jam yang lalu, kepalaku sakit sekali entah karena apa, tapi di detik ini aku kembali sehat walafiat😁

2024-10-26 06:48:25

34

mlyn :

sapa dongg bang

2024-10-26 06:40:13

3

Raihan🏴‍☠️ •ft. Andalan :

hiii nadine

2024-10-26 06:58:20

1

Oswaldo Strand :

@anjay22🪶Very Very Quickly🪶

2024-10-26 12:50:00

1

Angga g ny 2 :

Tuhan yg bgni 1 aja ckp😭🙏

2024-12-20 18:34:24

0

takiya owi :

tiap bangun tidur liat ginian bikin langsung seger anti ngantuk,apalagi kalo hari senin

2024-12-20 01:23:33

0

JKT48||only :

putih😱

2024-12-23 04:40:05

0

Aizer — asawa ni Roann :

hi nadine🥰😳

2024-10-26 06:38:31

0

To see more videos from user @nadineabgail, please go to the Tikwm homepage.

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mis gustos son bien raros pero en mi cabeza todos ellos son amigos 🧍🏻‍♀️ @kary @Abel Ca @BryandelCallao @iOA @HokageSSJ🦁🇵🇪 #fyp #humor #comedia #fypシ゚ #peru

mis gustos son bien raros pero en mi cabeza todos ellos son amigos 🧍🏻‍♀️ @kary @Abel Ca @BryandelCallao @iOA @HokageSSJ🦁🇵🇪 #fyp #humor #comedia #fypシ゚ #peru

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Quality in every detail Packaging in process - customized hoodies in 3 unique colors, crafted from premium fleece fabric (380 GSM) ready to dispatch towards USA. If you want the best in custom apparel, DM or WhatsApp us at +92 312 7536091. . . . #customapparel #customhoodies #fyppppppppppppppppppppppp #streetwearusa #viralusa

Bring your edits to the next level with the 3D Camera Tracker! 🎥✨ In this quick tutorial, learn how to track your footage and place realistic 3D text in your scene — perfect for cinematic edits and motion design. 🚀 Follow for more powerful After Effects tricks! #aftereffectstutorial #3dtracking #motiondesign #editinghacks #vfx

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Building a proof-of-concept AI agent can be done in a single script. But moving that agent into production? That requires a robust, scalable architecture. If you are transitioning from basic LLM scripts to engineering production-grade agents, keeping your codebase clean is half the battle. Here is a battle-tested blueprint for an AI Agent Project Structure that keeps your code modular, maintainable, and highly testable: 📂 The Core Breakdown * agent/ (The Brain): Houses your core agent logic, execution loops, state management, and memory handling. Keep this isolated from specific tool implementations. * tools/ (The Capabilities): Where your agent's superpowers live. Separate your search, calculation, or external API calling scripts into standalone, modular tools. * models/ (The Engines): Manages your LLM and embedding client configurations. If you switch from OpenAI to Anthropic or an open-source model, this is the only place you should need to touch. * prompts/ (The Instructions): Never hardcode prompts into your application logic. Dedicate a folder to system and agent prompt templates to make iterating on prompt engineering seamless. * api/ (The Gateway): Wraps your agent into an API layer (using FastAPI, Flask, etc.) so it can easily integrate with frontend apps or external microservices. * tests/, data/, & logs/ (The Production Guardrails): Essential for evaluating agent performance, tracking execution paths, and catching edge cases before they hit production. > 💡 Pro-Tip: Notice the .env file in the root? Always use it to manage your LLM API keys and environment variables, and ensure it is included in your .gitignore so secrets are never pushed to GitHub! > How do you structure your AI projects? Do you prefer a monolithic approach early on, or do you start modular from day one? Let’s discuss in the comments below! 👇 #AIAgents #ArtificialIntelligence #SoftwareEngineering #Python #LLM

Building a proof-of-concept AI agent can be done in a single script. But moving that agent into production? That requires a robust, scalable architecture. If you are transitioning from basic LLM scripts to engineering production-grade agents, keeping your codebase clean is half the battle. Here is a battle-tested blueprint for an AI Agent Project Structure that keeps your code modular, maintainable, and highly testable: 📂 The Core Breakdown * agent/ (The Brain): Houses your core agent logic, execution loops, state management, and memory handling. Keep this isolated from specific tool implementations. * tools/ (The Capabilities): Where your agent's superpowers live. Separate your search, calculation, or external API calling scripts into standalone, modular tools. * models/ (The Engines): Manages your LLM and embedding client configurations. If you switch from OpenAI to Anthropic or an open-source model, this is the only place you should need to touch. * prompts/ (The Instructions): Never hardcode prompts into your application logic. Dedicate a folder to system and agent prompt templates to make iterating on prompt engineering seamless. * api/ (The Gateway): Wraps your agent into an API layer (using FastAPI, Flask, etc.) so it can easily integrate with frontend apps or external microservices. * tests/, data/, & logs/ (The Production Guardrails): Essential for evaluating agent performance, tracking execution paths, and catching edge cases before they hit production. > 💡 Pro-Tip: Notice the .env file in the root? Always use it to manage your LLM API keys and environment variables, and ensure it is included in your .gitignore so secrets are never pushed to GitHub! > How do you structure your AI projects? Do you prefer a monolithic approach early on, or do you start modular from day one? Let’s discuss in the comments below! 👇 #AIAgents #ArtificialIntelligence #SoftwareEngineering #Python #LLM

يَا مُحْسِنُ قَدْ أَتَاكَ الْمُسِيءُ عَنِ الْإِمَامِ جَعْفَرٍ الصَّادِقِ عَلَيْهِ السَّلَامُ: كَانَ أَمِيرُ الْمُؤْمِنِينَ عَلَيْهِ السَّلَامُ يَقُولُ لِأَصْحَابِهِ مَنْ أَقَامَ الصَّلَاةَ وَقَالَ قَبْلَ أَنْ يُحْرِمَ وَيُكَبِّرَ:

يَا مُحْسِنُ قَدْ أَتَاكَ الْمُسِيءُ عَنِ الْإِمَامِ جَعْفَرٍ الصَّادِقِ عَلَيْهِ السَّلَامُ: كَانَ أَمِيرُ الْمُؤْمِنِينَ عَلَيْهِ السَّلَامُ يَقُولُ لِأَصْحَابِهِ مَنْ أَقَامَ الصَّلَاةَ وَقَالَ قَبْلَ أَنْ يُحْرِمَ وَيُكَبِّرَ: "يَا مُحْسِنُ قَدْ أَتَاكَ الْمُسِيءُ، وَقَدْ أَمَرْتَ الْمُحْسِنَ أَنْ يَتَجَاوَزَ عَنِ الْمُسِيءِ، وَأَنْتَ الْمُحْسِنُ وَأَنَا الْمُسِيءُ، فَبِحَقِّ مُحَمَّدٍ وَآلِ مُحَمَّدٍ صَلِّ عَلَى مُحَمَّدٍ وَآلِ مُحَمَّدٍ، وَتَجَاوَزْ عَنْ قَبِيحِ مَا تَعْلَمُ مِنِّي". فَيَقُولُ اللَّهُ تَعَالَى مَلَائِكَتِي: "اشْهَدُوا أَنِّي قَدْ عَفَوْتُ عَنْهُ وَأَرْضَيْتُ عَنْهُ أَهْلَ تَبِعَاتِهِ". اللَّهُمَّ صَلِّ عَلَى مُحَمَّدٍ وَآلِ مُحَمَّدٍ.

اتمنى وصلت 👍🏻): #عبارات_حزينه💔 #تصميمي❤️ #vralvideo #axplor #اكسبلور

اتمنى وصلت 👍🏻): #عبارات_حزينه💔 #تصميمي❤️ #vralvideo #axplor #اكسبلور

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