내가 좋아할 만한 콘텐츠
Good point! Adding this visual, I created once that explains Platt Scaling:
7 Cloud Migration Strategies Every Cloud Engineer Should Know (with scenario questions for interviews) Cloud migration can originate from on-premises infrastructure or from another cloud provider. And it goes beyond just moving data. It's about strategically deciding the best…
Get Started with Docker - the Hands-On Way 🐳 I prepared a learning path with more than a dozen practical problems, augmented with deep theoretical dives and clear technical diagrams. No prior Docker knowledge assumed. Check it out labs.iximiuz.com/skill-paths/do…
Full Fine Tuning, LoRA and RAG, visually explained:
KV caching, clearly explained:
You're in an ML Engineer interview at OpenAI. The interviewer asks: "Our GPT model generates 100 tokens in 42 seconds. How do you make it 5x faster?" You: "I'll optimize the model architecture and use a better GPU." Interview over. Here's what you missed:
RAG vs Fine-tuning: Which one should you use? When it comes to adapting Large Language Models (LLMs) to new tasks, two popular approaches stand out: Retrieval-Augmented Generation (RAG) and Fine-tuning. They solve the same problem, making models more useful, but in very…
Everyone's talking about agentic AI, but are we all talking about the same thing? I've noticed people using "agentic architectures" and "agentic workflows" interchangeably. But they're actually quite different concepts that work together. Here's the distinction:…
#AI for Teachers by @Khulood_Almani #ArtificialIntelligence #MachineLearning #ML #Technology cc: @miketamir @bernardmarr @evankirstel
Your Vector RAG Blueprint. Here’s a clear 9-step pipeline to build a modern Vector RAG system from scratch. 1./ 𝐈𝐧𝐠𝐞𝐬𝐭 & 𝐏𝐫𝐞𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐃𝐚𝐭𝐚 ➞ Start with tools like web scraping libraries/services (e.g., Firecrawl), data connectors (e.g., for databases, APIs),…
AI Agents Cheat Sheet ------------ This is a good starting point if you're trying to make sense of AI agents. There’s a lot of talk about agent frameworks right now, but at the core, most of them build on the same set of ideas. This cheat sheet gives a simple overview of the…
🛠️🤖 How to build AI agents from scratch (Even if you've never done it before.) 𝗧𝗵𝗲𝘀𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝟴 𝘀𝘁𝗲𝗽𝘀 𝘁𝗼 𝘁𝗮𝗸𝗲, 𝗳𝗿𝗼𝗺 𝗽𝘂𝗿𝗽𝗼𝘀𝗲 𝘁𝗼 𝗨𝗜.
The Ultimate Tool Stack For AI Agents
90% of all new .NET projects in 2026 will use Vertical Slice Architecture Are you still using Clean Architecture or N-Layered? In modern software development, there are 4 popular approaches to structuring your projects: • N-Layered Architecture (Controller-Service-Repository)…
A breakdown of 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝗶𝗻 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 👇 And yes, it can also be used for LLM based systems! It is critical to ensure Data Quality and Integrity upstream of ML Training and Inference Pipelines, trying to do that in the…
50 Steps to master Agentic AI in 2025 - 2026
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