Under the Hood: Understanding tools like n8n and building Custom Nodes for Enterprise AI Workflows
Author(s): Samvardhan Singh Originally published on Towards AI. Learn how to build a Custom Node for Automated AI Infrastructure Monitoring and Neural Network Training Pipeline Diagnostics If you’re not a medium member, access this article for free here. image by authorThis article …
RAG Text Chunking Strategies: Optimize LLM Knowledge Access
Author(s): Abinaya Subramaniam Originally published on Towards AI. If retrieval is the search engine of your RAG system, chunking is the foundation the search engine stands on. Even the strongest LLM fails when the chunks are too long, too short, noisy, or …
Stop building RAG pipelines like it’s 2023
Author(s): AI Rabbit Originally published on Towards AI. Agentic Era If your architecture still looks like “User Query Vector DB LLM,” you aren’t building an AI application; you’re building a hallucination engine. The “naive” RAG era where we just dumped PDFs into …
The Role of AI Tools in Modern SEO
Author(s): KirtiBankar Originally published on Towards AI. Google Search Engine Optimization (SEO) is evolving faster than ever, and AI is a primary driver of this change. Marketers no longer depend on guessing, keyword studies done by hand, and repeating the same tasks …
Thinking with Video: The Next Leap in Multimodal AI Reasoning
Author(s): Kaushik Rajan Originally published on Towards AI. How video generation models like Sora-2 are bridging the gap between static images and dynamic understanding I still remember the first time I saw a Vision Language Model (VLM) describe a complex image. It …
Attention Is All You Need
Author(s): Luca Derumier Originally published on Towards AI. Attention Is All You Need You’re at a crowded party. Music playing, dozens of conversations happening simultaneously, glasses clinking. Yet somehow, when someone across the room mentions your name, you hear it. When your …
Why Apple is Losing the AI Race (And Why It Might Not Matter)
Author(s): Asjad Abrar Originally published on Towards AI. Why Apple is Losing the AI Race (And Why It Might Not Matter) We are experiencing the most serious technology arms race since the Internet became public. Since the extraordinary launch of ChatGPT in …
Recurrent Neural Networks Explained: How Neural Networks Remember What Happened Before
Author(s): Sai Viswanth Originally published on Towards AI. Computers began to reason and actually started to understand the meaning of the language via text. It was due to the discovery of Recurrent Neural Network (RNNs) in Machine learning. I am not exaggerating, …
Why Google Thinks Our Entire Approach to Training LLMs Needs to Change
Author(s): Harsh Chandekar Originally published on Towards AI. Google AI Says Deep Learning is an ‘Illusion’. Here Are Ideas That Could Change Everything. Hey, so I came across this new paper from Google researchers, and it’s actually pretty interesting. They’re basically asking: …
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 …
The Three Breakthroughs That Changed How I Think About AI Tool Use
Author(s): Gowtham Boyina Originally published on Towards AI. The Three Breakthroughs That Changed How I Think About AI Tool Use I’ve been building AI agents for a while, and like most developers in this space, I’ve hit the same frustrating wall over …
Someone Built an AI Interface for Industrial Equipment, and It’s Kind of Wild
Author(s): Gowtham Boyina Originally published on Towards AI. The Concept That Made Me Stop Scrolling I was browsing GitHub late last night and came across something called “IoT-Edge-MCP-Server.” The tagline caught me: “MCP server for Industrial IoT, SCADA and PLC systems.” Here’s …
Mastering the AI Paradox of Progress to Solve Your Mid-Career Crisis
Author(s): Sneha Originally published on Towards AI. The Experienced Professional’s AI Playbook If you are a millennial or Gen X professional watching the AI wave crash over your industry, you are probably feeling something between excitement and existential dread. Maybe both at …
Context Engineering: The Hidden Power Behind Smarter AI Systems
Author(s): Yuval Mehta Originally published on Towards AI. Photo by Growtika on Unsplash Large Language Models (LLMs) like GPT-4, Claude, and Gemini have redefined how humans interact with machines. Yet, their intelligence often depends less on their raw power, and more on …
TAI #181: DeepSeek’s V3.2 “Speciale” Delivery Challenges the US Frontier;
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie If the last few weeks were defined by the sheer scale of the US tech giants, with Google’s Gemini 3.0 claiming the throne and …
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