مُعاذ 📸
Region: SA
Saturday 27 April 2024 13:45:13 GMT
24884
632
14
334
Music
Download
Comments
A :
وبتشوف درجه ماتعرفها
2024-04-27 14:27:44
17
R :
سأل انت عندك نت تدخل الختبار
2026-04-29 12:03:44
0
ابن اليمن🇾🇪🇾🇪🇾🇪🇾🇪🇾🇪 :
سوف أدخل الا متحان وأن وجدت اسئلة لا اعرفها ساضع لهم اجوبة لا يعرفونها والبادئ اظلم
2025-04-05 05:01:35
0
آل حويطي :
والله تفهم 😉
2024-04-27 14:45:59
0
سلطان الحربي :
🫡🫡
2025-02-16 19:19:08
0
B l ~ :
@؟ وش رايك نسويها هههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههه
2026-04-30 15:54:57
0
بتّال :
يخوي تراه ماهو بيف 😂
2025-12-25 21:31:25
0
To see more videos from user @d_5kll, please go to the Tikwm
homepage.
![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PyTorch for Deep Learning Github - mrdbourke/pytorch-deep-learning/ → A great repo to learn PyTorch - could be a bit outdated but the concepts still applies. 7️⃣ Made With ML Github - GokuMohandas/Made-With-ML → Covers full ML product lifecycle: from design to CI/CD and monitoring.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]](/video/cover/7649814393512873249.webp)
