It’s Too Late To Learn AI! Wrong. Here’s why.
Author(s): Boris Meinardus Originally published on Towards AI. “The Death of Coding Jobs”, “12 reasons to ignore computer science degrees”, “Tech Workers Are in Deep, Deep Trouble”, and so much more… We need to talk. Look at these headlines! SourceThe article discusses …
Training Costs Are Falling — Inference Costs Are Exploding: 6 Types of Inference That Will Save Your AI Budget
Author(s): TANVEER MUSTAFA Originally published on Towards AI. Training Costs Are Falling — Inference Costs Are Exploding: 6 Types of Inference That Will Save Your AI Budget We’re witnessing a remarkable paradox in artificial intelligence: while the cost of training sophisticated AI …
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 …
From Résumés(PDFs) to Clean Data: Layout-Aware Parsing with Tiny LLMs
Author(s): Florian June Originally published on Towards AI. Have you ever wondered how to parse a résumé, or had to work with résumés on the job? This article will give you some useful insights. Figure 1: Overview of the layout-aware, LLM-powered resume …
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 …
Building a Self-Improving Productivity Coach: Agentic AI With Meta-Reflection, Episodic Memory, and Streamlit
Author(s): Kyle knudson Originally published on Towards AI. Building a Self-Improving Productivity Coach: Agentic AI With Meta-Reflection, Episodic Memory, and Streamlit Most people track their day. Some reflect on it. Very few learn from it and almost no one has an AI …
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 — …
Building AI Agents with Gemini 3 Pro: A Comparison of Google ADK (vs. LangGraph & Agno)
Author(s): Sreejith Sreejayan Originally published on Towards AI. The release of Gemini 3 Pro has shifted the landscape of AI development. With its advanced reasoning capabilities and “agentic” nature, the focus has moved from simple chatbots to autonomous systems that can plan, …
RAG Isn’t AGI
Author(s): Shenggang Li Originally published on Towards AI. Why “LLM + Retrieval + Private Data” collapses outside the demo — and what real AGI-like systems actually require Over the last two years, a new corporate myth has spread faster than any technical …
The Hidden Assumptions Behind Linear Regression
Author(s): Samith Chimminiyan Originally published on Towards AI. Linear Regression is one of the first topics that we hear when we start learning Machine Learning. Because of that, many people treat it as something to quickly “get through” before moving on to …
Hierarchical Reasoning Models: When 27M Parameters Outperform Chain-of-Thought
Author(s): Kyouma45 Originally published on Towards AI. Paper-explained Series 4 TL;DR Most AI models “reason” by talking themselves through problems using chain-of-thought, which is slow, brittle, and expensive.This article explains a different idea called the Hierarchical Reasoning Model (HRM). Instead of reasoning …
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 …
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