Agents 2.0: AI Agents that Can Learn (6 Learning Types that Make Memory Persistent)
Author(s): Divy Yadav Originally published on Towards AI. What if your AI actually remembered you? We call them AI agents. Personal assistants. Digital helpers. Photo by geminiThis article discusses the limitations of current AI agents, which typically do not learn from past …
4 Retrieval Strategies: Why Most RAG Systems Fail at Retrieval (Not Generation)
Author(s): Divy Yadav Originally published on Towards AI. Retrieval Strategies for Building a Robust, Production-Ready RAG System Retriever is the heart of any Rag based Systsem, and also the most critical point of failure too. Photo by GeminiThe article discusses several crucial …
Google Titans Crushes Transformers: Neural Memory for Infinite Context
Author(s): Divy Yadav Originally published on Towards AI. The powerful shift from the transformer to Titans Remember that time you walked into a room and completely forgot why you went there? That frustrating “brain fart” is your short-term memory failing you. By …
System Design Guide From Zero: The Only 30 Concepts You Need
Author(s): Divy Yadav Originally published on Towards AI. A complete, beginner-comprehensive guide for designing scalable systems and cracking system design interviews This guide assumes you are a beginner and want to get strong in System Design. I have made it in such …
The Complete Guide to Guardrails: Building AI Agents That Won’t Go Rogue
Author(s): Divy Yadav Originally published on Towards AI. Photo by Gemini Note: If you’re implementing guardrails soon, this is essential reading; pair it with LangChain’s official docs for edge cases. Let’s begin Picture this: You’ve built an AI agent to handle customer …
Why 90% of Agentic RAG Projects Fail (And How to Build One That Actually Works in Production)
Author(s): Divy Yadav Originally published on Towards AI. Photo by Gemini Most enterprise AI pilots fail. McKinsey’s research found only 10–20% of AI proofs-of-concept scale beyond pilots. Why? Teams treat production systems like demos. I’ve seen companies spend six months building agentic …
How Video Streaming Actually Works: Why YouTube Starts Playing in 3 Seconds (System Design Explained)
Author(s): Divy Yadav Originally published on Towards AI. Photo by Gemini You click play on a YouTube video. Within 2 seconds, it starts playing. But here’s what blows my mind: that video is 4 GB, sitting on a server thousands of miles …
Google’s A2A Protocol: The Complete Guide to How AI Agents Actually Find and Talk to Each Other
Author(s): Divy Yadav Originally published on Towards AI. Source: Google You want to order a burger under $15. You open Zomato. Here’s what should happen: One request: instant results from McDonald’s, Burger King, and Wendy’s. Here’s what actually happens today: Nothing. Because …
Why Most RAG Systems Fail in Production and the Simple Fix That Improves Accuracy Fast
Author(s): Divy Yadav Originally published on Towards AI. Source: By the author You spent two weeks building a RAG application. It retrieves documents. It generates answers. You tested it with a few questions. It looked good. Then you put it in production …
Networking Explained: From “What’s Network?” to AI-Powered Networks
Author(s): Divy Yadav Originally published on Towards AI. You click. Pages load. Messages send. Videos stream. But HOW? Let me show you using something everyone understands: a school. By the end of this, you’ll understand IP addresses, routers, switches, firewalls — all …
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