How to Build Effective Agentic Systems with LangGraph
Author(s): Eivind Kjosbakken Originally published on Towards AI. Create AI workflows with agentic frameworks With the rise of powerful AI models, such as GPT-5 and Gemini 2.5 Pro, we also see an increase in agentic frameworks to utilize these models. These frameworks …
The Complete Guide to ChatGPT Architecture: How AI Learned to Talk Like Us 🤖
Author(s): AbhinayaPinreddy Originally published on Towards AI. Introduction: The Magic Behind the Curtain Have you ever wondered how ChatGPT can write poetry, debug code, explain quantum physics, and even crack jokes — all in a matter of seconds? It’s not magic, but …
LLMs Are Dying – The New AI Is Killing Them
Author(s): Jose Crespo, PhD Originally published on Towards AI. Though Still Haunted by AI’s Fatal Obsession with Euclidean Flatland Yes, ChatGPT, Claude, Gemini, all of them. Brilliant fossils of a linguistic age that’s already ending. They’re decomposing in public, billions are still …
Building Intelligent Multi-Agent Systems: A Deep Dive into LLM-Powered Autonomous Agents
Author(s): AbhinayaPinreddy Originally published on Towards AI. 🤔 Imagine This… You’re managing a complex project — let’s say organizing a company conference. You need someone to research venues, another to handle catering, someone to manage the budget, and another to coordinate speakers. …
From raw text to training gold: How to collect and prepare data for custom LLMs
Author(s): Laura Verghote Originally published on Towards AI. Practical guidance for building clean, domain-relevant datasets for fine-tuning, continued pretraining, or training from scratch If you’ve worked on language models beyond a quick prototype, you already know where the real bottleneck is. It’s …
🚀 The Future is Here: Multimodal & Vision-Language Models Transforming AI
Author(s): AbhinayaPinreddy Originally published on Towards AI. 🎯 Introduction: When AI Learns to See, Hear, and Understand Imagine asking your phone, “What’s in my fridge and what can I cook?” You snap a photo, and within seconds, the AI not only identifies …
Getting Started with Generative AI Models: Concepts and Building Blocks
Author(s): Gulshan Yadav Originally published on Towards AI. Getting Started with Generative AI Models: Concepts and Building Blocks Master Generative AI from foundations to implementation. Learn GANs, VAEs, transformers, and diffusion models with hands-on examples. Build your first text generator, image creator, …
You’re Not an AI Engineer. You’re Just Using ChatGPT.
Author(s): Rohan Mistry Originally published on Towards AI. What actually separates AI engineers from AI users I see it everywhere on LinkedIn: Source: Image by author.The article discusses the misconception surrounding those who utilize AI tools like ChatGPT versus those who are …
Your First Time Series Model: A Beginner’s Tutorial
Author(s): Gulshan Yadav Originally published on Towards AI. Your First Time Series Model: A Beginner’s Tutorial Master time series forecasting from scratch. Learn data preparation, visualization, ARIMA, LSTM models, and evaluation techniques with complete Python examples for stock prices, weather, and sales …
DeepSeek OCR: The Quiet Revolution That’s Making Documents 10× Cheaper to Process
Author(s): AbhinayaPinreddy Originally published on Towards AI. DeepSeek OCR: The Quiet Revolution That’s Making Documents 10× Cheaper to Process Picture this: You’re running an enterprise system that processes thousands of invoices daily. Each scanned PDF gets fed into GPT-4 for extraction and …
OOP: From Chaos to Classes (Without Losing Your Mind) 🎭
Author(s): AbhinayaPinreddy Originally published on Towards AI. The Kitchen Disaster That Changed Programming Forever Assume, You’re coding a simple program. Then your boss asks for “just one tiny feature.” Then another. Then seventeen more. Suddenly, your beautiful 50-line script looks like a …
Building an AI-Powered Text-to-SQL Chatbot: Your Data’s New Best Friend 🤖
Author(s): AbhinayaPinreddy Originally published on Towards AI. The “I Wish I Could Just Ask” Problem Picture this: You’re in a Monday morning meeting. Your boss leans back and asks, “Hey, can you pull up all customers who signed up last month and …
Natural Language Processing (PART-2) Probability Models Introduction: Markov Models for Text.
Author(s): AbhinayaPinreddy Originally published on Towards AI. 1. Overview Probability models are crucial in understanding how uncertain events evolve over time, especially in machine learning and AI. Among these models, Markov Models play a foundational role in sequence modeling, reinforcement learning, computational …
Natural Language Processing: Bridging Humans and Machines -Part 1 (vector-based models and Text Processing)
Author(s): AbhinayaPinreddy Originally published on Towards AI. Natural Language Processing: Bridging Humans and Machines -Part 1 (vector-based models and Text Processing) Natural Language Processing (NLP) is a fascinating field of Artificial Intelligence (AI) that focuses on enabling computers to understand, interpret, and …
Jules + Gemini CLI: The AI Combo That Actually 10x’s Your Productivity
Author(s): Rohan Mistry Originally published on Towards AI. Stop context switching — let Jules handle the boring work while you code You’re debugging a neural network. Training loss is spiking. You’re in the zone. Source: Image by author.The article discusses the challenges …
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