Ai Architecture
47%40 posts analysés sur les 12 dernières semaines
Sur les 12 dernières semaines
Moyenne tous posts confondus
Ce mois-ci vs le précédent
40 posts analysés sur les 12 dernières semaines
Sur les 12 dernières semaines
Moyenne tous posts confondus
Ce mois-ci vs le précédent
Pente de progression (6 semaines)
Meilleure semaine : 31 août (261 likes moy.)
Sebastian Raschka, PhD
ML/AI research engineer. Author of Build a Large Language Model From Scratch (amzn.to/4fqvn0D) and Ahead of AI (magazine.sebastianraschka.com), on how LLMs work and the latest developments in the field.
There's a lot of hype around OpenAI's Astra model being "recurrent depth or looped transformer". Let's debunk this a bit. About 2 months ago, I shared the architecture details of Nanbeige, for example, where "Nanbeige4.…
Raunak Yadush
Founder & CTO | ML/AI Engineer | Building Scalable, Real-World AI Products That Ship | Open for Collaboration | 233K+ Community
Stanford's full LLM course is now FREE. 9 lectures from Transformers to Agentic systems. If you're trying to separate AI hype from architecture decisions, start here: Lecture 7 (Agentic LLMs) and Lecture 8 (LLM Evalua…
Brij Kishore Pandey
AI Architect & Engineer | Agentic systems, RAG, AI infrastructure, Data Engineering | 738K+ LinkedIn, 294K+ Instagram | Newsletter for 250K AI builders
I counted every tool that can sit between a user question and a grounded answer in 2026. Sixty plus. Across eight layers. Four of those layers get all the attention. The other four are where retrieval quality actuall…
Rushika Rai
Frontend Developer & AI Enthusiast | AI & Data-Driven Personal Branding for CEOs & Founders | Resume Writer | Open to Collabs 🤝
People often talk about AI agents, but very few understand the architecture that actually makes them work. Before you build or deploy an agent, you need to know what sits under the hood - the layers that handle intellig…
Brij Kishore Pandey
AI Architect & Engineer | Agentic systems, RAG, AI infrastructure, Data Engineering | 738K+ LinkedIn, 294K+ Instagram | Newsletter for 250K AI builders
I made this infographic two years ago. Back then, "agentic AI" was barely a term. No standard stacks. No MCP. No A2A. Most people were still arguing about whether chatbots counted as agents. I remember sketching this…
Maryam Miradi, PhD
Chief AI Scientist | 20+ Yrs in AI | 400+ Production AI Agents Built | AI Agents Instructor | Teaching 3,200+ students Agentic Python Systems (Claude Code, LangGraph, Google ADK, CrewAI, MCP, OpenAI) | 46k+ Newsletter
After building 400+ Production AI Agents I curated 7 Crucial Skills so you can become a Production AI Agents Engineer. 𝟭. 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 If you have built a backend with multiple services talking to each o…
Brij Kishore Pandey
AI Architect & Engineer | Agentic systems, RAG, AI infrastructure, Data Engineering | 738K+ LinkedIn, 294K+ Instagram | Newsletter for 250K AI builders
Naive RAG works until the question and the documents stop sounding alike. That’s usually when teams assume they need a bigger model. Often they need a different retrieval pattern. HyDE when users paraphrase. Hybrid…
Shushant Lakhyani
Building a curated directory of the best tools, apps, AI tools, courses, books and other resources for getting more done at bestproductivityresources.com. I’m a content creator, marketer, builder, and generalist.
I'm genuinely surprised most people still don't understand how modern AI systems actually work. Here's the complete AI architecture stack that powers today's smartest AI applications. 🔖 Save this post for later --- …
Rushika Rai
Frontend Developer & AI Enthusiast | AI & Data-Driven Personal Branding for CEOs & Founders | Resume Writer | Open to Collabs 🤝
Teams usually think they’re building an AI agent. In reality, they’re just deploying a chatbot. There’s a big difference. Here’s how chatbot architecture compares to true AI agent architecture 👇 1️⃣ Core Purpose - C…
Woongsik Dr. Su, MBA
AI | ML | NLP | Big Data | ChatGPT | Robotics | FinTech | Agent AI | Digital Transformation | AI Transformation | AX | DX | RX | AI Act | Robotics Transformation
The hardest part of Agentic AI isn't building the agent. It's controlling what happens around it. Enterprise AI has reached an interesting point. Building a compelling GenAI prototype is becoming easier. The real challe…