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@dramaxqueeen: لا تستحوا تكونوا صريحين لانهم هم مستحيل يستحوا وبيحكوا كل شي بدهم ياه . . . . #fyp #اكسبلورexplore #viral #fy #foruyou

Dramaqueen
Dramaqueen
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Region: DE
Friday 05 June 2026 11:59:44 GMT
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vvx97i
FA :
شعرك بيجنن ماشاءالله… ايش اسم هالقصة ادور عليها من زمان
2026-06-19 02:10:13
46
mohamed163721
محمد :
جمالك مقوي قلبك
2026-06-16 17:21:24
14
kokejora87
kokejora87 :
لا ماديا و لا شكليا .. للاسف بس عندنا فراغ بسبب عائلاتنا 💔
2026-06-19 11:59:56
38
a._.au_m
𝓐𝓨𝓞 :
متابعتك من كان عندك 200 متابع
2026-06-13 15:16:01
15
amal.thv
amal.thv :
2026-06-07 22:02:00
6
losth113
شُرود :
احبج☺️❤️
2026-06-05 12:19:15
6
ileaw5
◐❴私を見ないで❵◑ :
بحبك😭
2026-06-05 16:58:12
5
adam179360
افلاطون :
صلي الظهر وكل من يقرأ تعليقي يصلي صلاة الظهر
2026-06-17 08:35:03
5
sophia_ali6
sophia ✨ :
ياعيني عليكيييي
2026-06-07 20:06:07
3
leenelkoda
leenoo :
اوووول
2026-06-05 12:04:04
2
user362969581
lolo :
Queen
2026-06-12 17:00:32
1
filanteetoile41
nihadfarah :
حلوة كتير
2026-06-17 22:50:35
1
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Automatic cooking machine, Welcome to consult.#machine #foodmachine #cookingmachine #settings #export #kitchen
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8 Github repositories every AI Engineer should know! (Covering ML, RAG, PyTorch, MLOps, Agents) Bookmark them! 👇 1️⃣ AI Agents for Beginners Github - microsoft/ai-agents-for-beginners → A fantastic beginner-friendly course to get started with AI agents. Free 11-lesson hands-on curriculum - no fluff, just code. 2️⃣ Agents towards production Github - NirDiamant/agents-towards-production → It is your hands-on guide to every building block of a GenAI agent stack. 3️⃣ RAG Techniques Github - NirDiamant/RAG_Techniques → One of the most comprehensive and dynamic collections of Retrieval-Augmented Generation (RAG) tutorials available 4️⃣ Jam With AI Github - jamwithai/production-agentic-rag-course → Hands on RAG and AI Agent projects 5️⃣ Hands-on Large Language Models Github - HandsOnLLM/Hands-On-Large-Language-Models → This repo supports the Hands-On LLM book. Learn everything from basic language models to finetuning with real notebooks. 6️⃣ Learn PyTorch for Deep Learning Github - mrdbourke/pytorch-deep-learning/ → A great repo to learn PyTorch - could be a bit outdated but the concepts still applies. 7️⃣ Made With ML Github - GokuMohandas/Made-With-ML → Covers full ML product lifecycle: from design to CI/CD and monitoring. If you’re serious about building production-grade ML systems, this is gold. 8️⃣ Machine Learning for Beginners by Microsoft Github - microsoft/ML-For-Beginners → Start here if you’re brand new to ML. Covers basic ML concepts in Jupyter notebooks beginner-friendly and visual. . . . [AI Engineering, #AI Engineer, Machine Learning, #ML Engineering, MLOps, #LLMOps , Generative AI, #GenAI Large Language Models, LLM, AI #Agents, Agentic AI, RAG, Retrieval Augmented Generation, Agentic RAG, Vector Search, Embeddings, Semantic Search, Hybrid Search, PyTorch, Deep Learning, Neural Networks, Fine Tuning, LLM Fine Tuning, Transformers, NLP]
8 Github repositories every AI Engineer should know! (Covering ML, RAG, PyTorch, MLOps, Agents) Bookmark them! 👇 1️⃣ AI Agents for Beginners Github - microsoft/ai-agents-for-beginners → A fantastic beginner-friendly course to get started with AI agents. Free 11-lesson hands-on curriculum - no fluff, just code. 2️⃣ Agents towards production Github - NirDiamant/agents-towards-production → It is your hands-on guide to every building block of a GenAI agent stack. 3️⃣ RAG Techniques Github - NirDiamant/RAG_Techniques → One of the most comprehensive and dynamic collections of Retrieval-Augmented Generation (RAG) tutorials available 4️⃣ Jam With AI Github - jamwithai/production-agentic-rag-course → Hands on RAG and AI Agent projects 5️⃣ Hands-on Large Language Models Github - HandsOnLLM/Hands-On-Large-Language-Models → This repo supports the Hands-On LLM book. Learn everything from basic language models to finetuning with real notebooks. 6️⃣ Learn PyTorch for Deep Learning Github - mrdbourke/pytorch-deep-learning/ → A great repo to learn PyTorch - could be a bit outdated but the concepts still applies. 7️⃣ Made With ML Github - GokuMohandas/Made-With-ML → Covers full ML product lifecycle: from design to CI/CD and monitoring. If you’re serious about building production-grade ML systems, this is gold. 8️⃣ Machine Learning for Beginners by Microsoft Github - microsoft/ML-For-Beginners → Start here if you’re brand new to ML. Covers basic ML concepts in Jupyter notebooks beginner-friendly and visual. . . . [AI Engineering, #AI Engineer, Machine Learning, #ML Engineering, MLOps, #LLMOps , Generative AI, #GenAI Large Language Models, LLM, AI #Agents, Agentic AI, RAG, Retrieval Augmented Generation, Agentic RAG, Vector Search, Embeddings, Semantic Search, Hybrid Search, PyTorch, Deep Learning, Neural Networks, Fine Tuning, LLM Fine Tuning, Transformers, NLP]

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