Agent Messages That Mean Something: Speech Acts, Performatives, and ACLs
Author(s): Souradip Pal Originally published on Towards AI. Why true communication between agents starts with understanding intent, not just sending data. Imagine you wrote: [Image Caption]The article discusses the importance of meaningful communication between AI agents, emphasizing that true understanding begins with …
The Builder’s Notes: Why AI Systems Break in Production (The Infrastructure No One Talks About)
Author(s): Piyoosh Rai Originally published on Towards AI. Your monitoring stack shows green. Your infrastructure is on fire. This is why 30% of AI projects fail after deployment — not because of the models, but because of the invisible infrastructure no one …
Reflection with LLM: How to Make AI Review Its Own Work
Author(s): Sayanteka Chakraborty Originally published on Towards AI. How to Make AI Review Its Own Work Reflection refers to a structured process where the model evaluates and improves its own output. It typically involves generating an initial response, analyzing that response against …
How Computers Visualise Images: A Beginner’s Guide to CNNs
Author(s): Aditya Gupta Originally published on Towards AI. Think about how you scroll through your phone’s photo gallery. You don’t even have to think before recognizing your friends, your pet, or the places you’ve been. Your brain instantly knows what’s in each …
Is 2025 the Year of AI Agents? Only If You Govern Them.
Author(s): Bran Kop, Engineer @Conformal, Founder of aiHQ Originally published on Towards AI. OpenAI’s AgentKit made a splash in late 2025, with some commentators hyping it as a potential “startup killer” for the AI agent space. It promises an integrated toolkit to …
Weekly AI Newsletter : What You Need to Know Before Monday (Oct 12, 2025)
Author(s): AIversity Originally published on Towards AI. AI Weekly Newsletter from AIversity The past week has been absolutely explosive for the AI industry, with groundbreaking partnerships, massive funding rounds, and revolutionary product launches that are reshaping how we interact with artificial intelligence. …
You Type “Hello” to ChatGPT. Here’s What Actually Happens in 0.8 Seconds.
Author(s): Rohan Mistry Originally published on Towards AI. The 47-Step Journey Your Message Takes From Your Keyboard to AI Response (And Why It Costs $0.03 You open ChatGPT. You type: “Explain quantum computing.” Source: Image by author.The article outlines the complex journey …
TAI #174: Gemini 2.5 Computer Use Hits SotA but Not Yet an Unlock for Production Agents
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie After a frenetic period of product announcements, this week felt much slower on the release front. Following OpenAI’s DevDay deluge, Google offered its response …
Z-Score Standardization & StandardScaler:
Author(s): Amna Sabahat Originally published on Towards AI. You’ve cleaned your data, handled missing values, and are ready to build a powerful machine learning model. But there’s one critical step left: feature scaling. If you’ve ever wondered why your K-Nearest Neighbors model …
Deep Learning: Multi-Layered Perceptron (MLP)
Author(s): Chandra Prakash Bathula Originally published on Towards AI. Stacking Neurons: The Foundation of Deep Learning Now that we’ve understood what a Perceptron is a simplified model of a single neuron and how Logistic Regression is conceptually similar to it (except for …
Deep Learning: Perceptron vs Logistic Regression.
Author(s): Chandra Prakash Bathula Originally published on Towards AI. The Journey of Deep Learning started with deep questions inspired from neuroscience. From these very questions arose the earliest models like Single Neuron inspired Perceptrons and then expanded to Multi-Layered Perceptrons (MLPs) that …
Deep Learning: Biological Neural Network vs Artificial Neural Network.
Author(s): Chandra Prakash Bathula Originally published on Towards AI. The Biological Blueprint of Deep Learning In this series of blogs, we’re diving deep into deep neural networks, their variations, and transformers. So far, we’ve explored the history of neural networks. Now, let’s …
Understand Positional Encoding In Transformers
Author(s): Ramakrushna Mohapatra Originally published on Towards AI. Understand Positional Encoding In Transformers If you’ve ever worked with Transformer models like BERT, GPT, or T5, you’ve probably come across a small but crucial concept: Positional Encoding. Source & Created by Ramakrushna MohapatraThis …
Meet Your Offline ChatGPT: The Ultimate Guide to Running AI Locally
Author(s): Himanshu Soni Originally published on Towards AI. Developers, researchers, and creators are now running powerful AI models on their own computers completely offline, with full privacy, and zero subscription fees. Offline ChatGPT Why Local AI Matters (Now More Than Ever) Running …
OpenAI’s AgentKit: A New Era for Developer Tooling in Agentic AI
Author(s): Kyle knudson Originally published on Towards AI. How the new Agent Builder lowers barriers for building intelligent workflows — and what developers should watch for When OpenAI unveiled AgentKit and its visual Agent Builder at DevDay 2025, the message to developers …
Recent Posts
