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Top 4 Agentic AI Design Patterns Image Credit : Shalini Goyal
I have been fine-tuning LLMs for over 2 years now! Here are the top 5 LLM fine-tuning techniques, explained with visuals: First of all, what's so different about LLM finetuning? Traditional fine‑tuning is impractical for LLMs (billions of params; 100s GB). Since this kind of…
Most people confuse AI Agents with Agentic AI Systems! But they’re not the same. 👉 AI Agent = single-task executor User → Agent → Task → Output 👉 Agentic AI System = goal achiever Goal → Planner ↔ Executor ↔ Memory + Environment When to use which? ✅ AI Agent →…
The future of database search is agentic. Here's what that means: Most search systems follow predetermined patterns - you write a query, it searches, done. But Query Agents do it completely differently. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 𝗤𝘂𝗲𝗿𝘆 𝗔𝗴𝗲𝗻𝘁? A query agent is an AI system that…
The Agentic AI Universe on one page AI → ML → DL → GenAI → Agents, mapped clearly. [Bookmark for reference]
![ginacostag_'s tweet image. The Agentic AI Universe on one page
AI → ML → DL → GenAI → Agents, mapped clearly.
[Bookmark for reference]](https://pbs.twimg.com/media/G6cOLRxbwAAwCIa.jpg)
#AgenticAI Stack Atmosphere by @Python_Dv #LLM #EmergingTech #Technology #Innovation #Tech
80% of AI beginners are confused by RAG Agents. Let's fix that (in under 2 minutes): a thread🧵
How to build a RAG app on AWS! The visual below shows the exact flow of how a simple RAG system works inside AWS, using services you already know. At its core, RAG is a two-stage pattern: - Ingestion (prepare knowledge) - Querying (use knowledge) Below is how each stage works…
Meta just solved the biggest problem in RAG! Most RAG systems waste your money. They retrieve 100 chunks when you only need 10. They force the LLM to process thousands of irrelevant tokens. You pay for compute you don't need. Meta AI just solved this. They built REFRAG, a new…
You need to hear this! Something remarkable is happening in the AI industry right now. We've spent months watching the agent ecosystem fragment into dozens of incompatible frameworks. But finally, the industry is converging around 3 protocols that work together. These are:…
13 Practical Steps For Creating an AI Agent
Your RAG system is failing? It's not your vector database - it's how you're chunking your data. Everyone focuses on picking the perfect vector database or embedding model. But here's what actually makes or breaks your RAG system: how you prepare your data before it ever gets…
AI Agent Learning Roadmap. Grab the AI Agent Handbook: codewithdhanian.gumroad.com/l/gfkbh
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