Choosing AI Agent Architecture for Enterprise Systems: Shallow vs ReAct vs Deep
Author(s): Mandar Panse Originally published on Towards AI. Understanding different execution patterns in modern LLM-powered agents Important note: These aren’t “types of AI agents” in the classical sense (like reflex agents, goal-based agents, etc.). Instead, these are architectural patterns — different ways …
VL-JEPA: What Happens When AI Learns to Think Before It Speaks
Author(s): Yash Mohite Originally published on Towards AI. Understanding VL-JEPA and its approach to embedding-based vision–language modeling Modern vision language models can describe images, answer questions, and interpret videos with impressive fluency. Yet they all share an unusual habit: they talk constantly. …
From Spatial Navigation to Spectral Filtering
Author(s): Erez Azaria Originally published on Towards AI. Image generated by Author using AI In the world of machine learning, one of the most enigmatic and elusive concepts is “latent space”, the semantic hyperspace in which a large language model operates. Most …
Understanding Computer Systems: From Silicon to Software
Author(s): Ganesh Bajaj Originally published on Towards AI. A Guide to SoC, Firmware, Drivers, Kernel, and Operating Systems Every time you tap your smartphone screen, click a mouse, or save a document, an intricate dance occurs between hardware and software. Yet for …
Developers Thought AI Made Them 24% Faster. They Were Actually 19% Slower.
Author(s): Ahmed M. Abdelfattah Originally published on Towards AI. 16 developers. 246 real tasks. One randomized controlled trial. The results contradict everything vendors claim. and everything developers believe. Same study. Same developers. Same tasks. Three numbers that shouldn’t exist together. Developers expected …
How I Turned ChatGPT into My Personal Mentor
Author(s): Himanshu Bhoir Originally published on Towards AI. For months, I treated ChatGPT like a search engine. It gave answers but never guidance. Every time I got stuck, I had to re-explain myself: who I am, what I do, and what I’m …
Feature Leakage in Machine Learning: The Silent Killer Destroying Your Model’s Real Performance
Author(s): Rohan Mistry Originally published on Towards AI. Understanding Data Leakage, Target Leakage, and Temporal Leakage — And How to Detect and Prevent Them Your machine learning model achieves 98% accuracy on validation data. Your team celebrates. You deploy to production. Source: …
Variational Autoencoders in simple language
Author(s): Sachin Soni Originally published on Towards AI. A Variational Autoencoder (VAE) is a type of Generative Model. Unlike standard AI that just recognizes things, a VAE can actually create new data, such as realistic images, music, or synthetic voices. The main …
Alibaba Just Open-Sourced Voice Cloning That Works in 3 Seconds
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. Flow-Matching Meets Voice Generation Another week, another AI breakthrough that changes everything we thought we knew about voice generation. This time, it’s Alibaba’s Qwen team dropping their entire Qwen3-TTS family into the …
Extend Your Chatbot with Deep Research Using A2A
Author(s): Kihyeon Myung Originally published on Towards AI. The complete implementation is available on GitHub. See the demo to watch it in action. Image generated by Nano Banana by author Deep research has become a flagship feature of modern AI assistants — …
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