𝙄𝙎𝙆 𝘼𝙐𝙏𝙊𝙈𝙊𝘽𝙄𝙇𝙀
Region: MY
Thursday 25 September 2025 11:45:31 GMT
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is :
ada lagi ko boh
2025-10-10 19:23:53
2
kamaruddinbinkass :
dlm tk review pn
2025-09-26 04:38:58
1
ᗰᗩT YEE :
1. berapa bosku
2025-09-26 02:11:20
1
Poxji :
trade in dgn myvi icon 1.3 standard g ambik ko boss?
2025-09-26 01:22:14
1
Mohddaud070 :
Di mana ni boss....
2025-11-06 23:27:00
0
ARSHIYAN :
🥰
2025-11-28 03:59:37
0
it's me Faiz :
ada lagi ke??
2025-09-25 15:52:12
1
Yusof Mat Noor :
ada lg ko bos
2025-09-25 17:06:40
1
haikal :
loan blh ko
2025-09-25 12:49:22
0
rosyouwan :
Thun bilo
2025-09-25 15:40:48
0
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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PyTorch for Deep Learning Github - mrdbourke/pytorch-deep-learning/ → A great repo to learn PyTorch - could be a bit outdated but the concepts still applies. 7️⃣ Made With ML Github - GokuMohandas/Made-With-ML → Covers full ML product lifecycle: from design to CI/CD and monitoring.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]](/video/cover/7649814393512873249.webp)
