@motaz.alshalaby:

Motaz Alshalaby
Motaz Alshalaby
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Saturday 20 June 2026 07:30:22 GMT
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shereenhasan05
Liebe Kaffee ☕️ und Natur :
Perfekt
2026-07-12 19:26:24
1
user7836149409245
الغريب الغريب :
صدقت
2026-06-28 17:23:29
1
raniarkj
raniarkj :
كلما امتلأ القلب بالمحبه والتسامح والرضا انعكس ذلك على الملامح والتصرفات اللطيفه التي ترتقي بالعلاقات وتجعلها انقى واجمل . يسعد صباحكن يا رب
2026-06-20 08:29:12
1
user7836149409245
الغريب الغريب :
كلام في الصميم
2026-06-28 17:23:47
1
utegrieger
ute :
🥰
2026-06-30 22:21:49
1
motlkinn
chtatto🤪 :
🥰🥰🥰
2026-06-20 13:58:02
1
amirbaghdad12
amirbaghdad12 :
👏👏👏
2026-06-22 13:04:22
1
n.da661
zozan :
:🌹🌹🌹🌹🌹🌹🌹🌹🌹🌹🌹🌹🌹🌹🌹🌹🌹🌹🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
2026-06-20 07:41:23
1
cosabie
S :
🤲🤲🤲🤲🤲🤲🤲🤲🤲
2026-07-01 14:30:16
0
ha575635
h575635 :
🥰🥰🥰
2026-07-12 19:08:12
1
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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PyTorch for Deep Learning Github - mrdbourke/pytorch-deep-learning/ → A great repo to learn PyTorch - could be a bit outdated but the concepts still applies. 7️⃣ Made With ML Github - GokuMohandas/Made-With-ML → Covers full ML product lifecycle: from design to CI/CD and monitoring.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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