@mohammed_dohaly: #CapCut #تصميمي #اسامي_حسب_الطلب🥰 #اسم #مصطفى #تصميم_فيديوهات🎶🎤🎬 #اكسبلورexplore

محمد الظهالي

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Saturday 19 October 2024 03:45:24 GMT

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حنين :

مصطفى

2024-11-20 05:34:07

10

مصطفى :

ياراتيك انتي بتحبني كده يا اغلى علي انا

2024-10-25 19:14:25

2

. :

اي والله صدك من حبيت مصطفى عرفت شنو. يعني الحب ومن طرف واحد 😥

2024-12-11 17:08:03

4

شبل جحاجح :

تسلم يا غالي على الفيديو الحلوده

2024-10-25 12:25:30

1

ﻣﺼﻄﻔﻲ عاطف :

تسلم يا غالي على الفيديو الحلو ده ❤❤

2024-10-24 15:42:22

1

سـޢޢـآرهـޢޢـ ❤ :

ممكن قداوي 🥰

2024-11-05 18:37:57

3

khadija :

الله يحفظك الي حبيبي مصطفى

2024-10-23 22:41:21

8

AyaGalal :

احلى اسم مصطفي

2024-12-05 18:57:41

2

mostapha669 :

اللهم صل وسلم وبارك على سيدنا وحبيبنا ونبينا محمد وعلى آله وصحبه أجمعين ❤️❤️وكل عام وانتي بالف خير انشاء الله ❤️❤️

2025-01-08 15:14:09

2

hanan dakhla681 :

ممكن سناء عفاك بليز بنفس اغنية 🥰

2024-12-18 22:27:07

2

الله المستعان :

مصطفى مصطفى مصطفى 🥰🥰🥰💎💎

2024-11-15 12:01:16

3

🦁مًصّطِفُيَ آلَشُريَفُ ٥١٥🦁 :

شكرا

2025-01-12 16:01:13

1

مصطفى حسن :

فخامة الاسم تكفي

2025-01-06 19:12:47

1

صـآفيـﮯ 🥹🌹 :

شنو اسمي صار ترند 🥰

2024-12-06 03:37:27

1

Mostafa :

تحياتي لكم

2024-12-12 21:35:59

1

Mhroba :

مازن عليك الله

2024-12-25 09:20:18

1

Mostafa Hisham :

بجد ميرسي

2024-12-01 07:34:23

1

ديـشـا 🖤🔥 :

فين الي هيقلي بس الكلام ده 😢

2024-12-14 01:48:58

1

ام الزهور :

ياربي تحفضو ليا 🥰🥰

2024-12-19 21:08:27

1

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Glow skin ✨ #grmw #glowskin

Glow skin ✨ #grmw #glowskin

The image you sent is a conceptual diagram that contrasts how people perceive AI with what AI actually is. Perceptual AI The left side of the diagram depicts a singular, monolithic AI entity labeled simply “AI.” Arrows flow from a big box labeled “Data” into this AI, and another arrow flows out of the AI labeled “Value.” This simple depiction suggests that AI takes in data and produces value without any underlying processes. Actual AI The right side of the diagram depicts a more nuanced understanding of AI. Here, data goes through a multi-step process to create value. There are three main stages: Data Engineering: This involves selecting, cleaning, and preparing the data for use in AI models. Modeling: This involves building and training a machine learning model on the data. Operationalization: This involves deploying the model, monitoring its performance, and retraining it as needed. The data engineering stage includes several steps such as data selection, sourcing, and synthesis. Then data is transformed through processes including cleaning, normalization, and scaling. The modeling stage includes building the model, selecting features, training it on data, and evaluating its performance. The final stage of operationalization involves registering the model, deploying it, monitoring its performance, and retraining it as needed. The bottom of the right side also shows that there are legal, ethical, transparency, security, and historical bias constraints that need to be considered throughout the AI development process. In essence, this diagram highlights the misconception that AI is a simple black box. In reality, AI development is a complex process that involves many steps to create real-world value.

The image you sent is a conceptual diagram that contrasts how people perceive AI with what AI actually is. Perceptual AI The left side of the diagram depicts a singular, monolithic AI entity labeled simply “AI.” Arrows flow from a big box labeled “Data” into this AI, and another arrow flows out of the AI labeled “Value.” This simple depiction suggests that AI takes in data and produces value without any underlying processes. Actual AI The right side of the diagram depicts a more nuanced understanding of AI. Here, data goes through a multi-step process to create value. There are three main stages: Data Engineering: This involves selecting, cleaning, and preparing the data for use in AI models. Modeling: This involves building and training a machine learning model on the data. Operationalization: This involves deploying the model, monitoring its performance, and retraining it as needed. The data engineering stage includes several steps such as data selection, sourcing, and synthesis. Then data is transformed through processes including cleaning, normalization, and scaling. The modeling stage includes building the model, selecting features, training it on data, and evaluating its performance. The final stage of operationalization involves registering the model, deploying it, monitoring its performance, and retraining it as needed. The bottom of the right side also shows that there are legal, ethical, transparency, security, and historical bias constraints that need to be considered throughout the AI development process. In essence, this diagram highlights the misconception that AI is a simple black box. In reality, AI development is a complex process that involves many steps to create real-world value.

They turn into a whole FBI DEPARTMENT IN LESS THAN 2 seconds😃😭 #brothers #Siblings #trend #hacker @Sari @Mony14

They turn into a whole FBI DEPARTMENT IN LESS THAN 2 seconds😃😭 #brothers #Siblings #trend #hacker @Sari @Mony14

သူငယ်ချင်းနိပြောအော့ကားဒေါင်းမယ်ဆို ငါဒေါင်းပိးပိမင်းမဒေါင်းဘူး🤣#ရောက်ချင်တဲ့နေရာရောက်ကွာ😍🤗🤗😅😅 #မျက်စိမနောက်ကြေး😛

သူငယ်ချင်းနိပြောအော့ကားဒေါင်းမယ်ဆို ငါဒေါင်းပိးပိမင်းမဒေါင်းဘူး🤣#ရောက်ချင်တဲ့နေရာရောက်ကွာ😍🤗🤗😅😅 #မျက်စိမနောက်ကြေး😛

Be thankful and always thank god for what u have. #greenscreen #foryou #syrianchildren

Be thankful and always thank god for what u have. #greenscreen #foryou #syrianchildren

Paternidades roubadas! #cuhra #direito #família #casamento

Paternidades roubadas! #cuhra #direito #família #casamento

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