🤖 Building the Future: Your Complete Guide to Agentic AI Programming in 2025
Author(s): MahendraMedapati Originally published on Towards AI. 🤖 Building the Future: Your Complete Guide to Agentic AI Programming in 2025 Artificial Intelligence is no longer just about chatbots that answer questions. We’re entering the era of agentic AI — intelligent systems that …
How AI Learned to Remember: The Mind-Bending Mathematics Behind Claude’s Memory 🧠✨
Author(s): MahendraMedapati Originally published on Towards AI. The Impossible Question That Changed Everything Imagine dying and being reborn thousands of times a day — yet somehow remembering everything about your life. Your friends, your conversations, your dreams. Impossible, right? Let’s dive into …
The Mind-Blowing Truth: AI’s “Revolutionary” Attention Mechanism Is Just 1960s Statistics in Disguise
Author(s): MahendraMedapati Originally published on Towards AI. Why Your Brain and ChatGPT Use the Same 70-Year-Old Math Trick Imagine you’re at a bustling coffee shop, trying to work on your laptop. Conversations swirl around you — someone’s breakup drama at 3 o’clock, …
🧠 Learning to Understand: How We Transform LLMs from Word Predictors to Intelligent Assistants
Author(s): MahendraMedapati Originally published on Towards AI. 🎯 The Hook: Why Your ChatGPT Feels So… Human Ever wondered why ChatGPT sometimes feels like it “gets” you, while at other times it completely misses the mark? Here’s a mind-bending fact: the language model …
LAI #97: Claude 4.5 Benchmarks, Function-Calling Fine-Tunes, and the Future of Model Alignment
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue dives deep into how models are evolving across capability, specialization, and alignment. We examine Claude Sonnet 4.5, how it outperforms GPT-5 (Codex) and Gemini 2.5 …
The Brutal Truth About AI Agents: What Actually Works in 2025 🤖💥
Author(s): MahendraMedapati Originally published on Towards AI. The Confession That Changes Everything Let me start with something that might disappoint you: AI agents are not magic. What makes or breaks an agent is context injection — the art of feeding it the …
🧠 Implementing RAG from Scratch in Google Colab
Author(s): Alok Ranjan Singh Originally published on Towards AI. 🧠 Implementing RAG from Scratch in Google Colab > Build your own Retrieval-Augmented Generation (RAG) system in Google Colab — understand how LLMs retrieve, reason, and respond with real facts. 💡 Why I …
🧠 Building Long-Term Memory for AI Agents: The Complete Guide to Making Your AI Remember Everything
Author(s): MahendraMedapati Originally published on Towards AI. 🎬 The Memento Problem: Why Your AI Has Amnesia Remember the movie Memento? The protagonist wakes up every few minutes with no memory of what just happened. He relies on Polaroid photos and tattoos to …
🧠 Beyond Transformers: What Comes After the Attention Era?
Author(s): Suraj Pandey Originally published on Towards AI. A beginner-friendly guide to the next generation of AI architectures Remember when ChatGPT first blew your mind? That magic happened thanks to Transformers — the architecture that powers GPT-4, Claude, and most modern AI. …
Your Model Has 95% Accuracy. It’s Completely Useless.
Author(s): Rohan Mistry Originally published on Towards AI. You Built a Model That Predicts Everything as “No.” It Has 95% Accuracy. You Just Shipped Garbage. Your boss: “How’s the fraud detection model?”You: “95% accuracy! Ready to deploy!”Your boss: “Great! Ship it.” Source: …
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