III. Your First Python API in Under 10 Minutes
Author(s): Mahimai Raja J Originally published on Towards AI. Awesome, now that we have learnt about the foundations. Enough theory. Let’s build something. Fig 1. First content image of the articleThis article provides a step-by-step guide to building a complete CRUD API …
Getting Structured Output from LLMs: Guide to Prompts, Parsers, and Tools
Author(s): Ajit Originally published on Towards AI. Getting Structured Output from LLMs: Guide to Prompts, Parsers, and Tools Large Language Models (LLMs) like GPT-4 are incredibly powerful at generating human-like text, but they often produce unstructured, free-form outputs. Many real-world applications require …
LAI #110: Fixing Context Rot and Rethinking How Agents Reason
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week, we’re looking at why agent systems drift, confuse themselves, or quietly break when tasks get long. I unpack the real cause of “random” agent degradation: context …
Vector Databases: Unlocking the Future of Intelligent AI and Semantic Search
Author(s): Hayanan Originally published on Towards AI. How AI Learns Meaning, Not Just Keywords Modern AI systems are no longer judged by how fast they retrieve data, but by how well they understand it. As users interact with applications in increasingly natural …
Did AGI Already Arrive While We Were Busy Arguing About What It Means? 🤖
Author(s): AbhinayaPinreddy Originally published on Towards AI. Wait… Did We Miss It? Imagine waiting for a big moment your whole life. You’re staring at the horizon, expecting fireworks and fanfare. Meanwhile, the thing you’re waiting for quietly walks in through the back …
From Brains to Agents: My Journey Building LLM Systems That Act
Author(s): Jofia Jose Prakash Originally published on Towards AI. How I moved from “answers” to “actions” with retrieval, tools, and agent loops Large‑language models (LLMs) are born as generalist engines of static, albeit powerful, brains. Static in the sense that while their …
Stop Wasting PDFs — Build a RAG That Actually Understands Them
Author(s): Robi Kumar Tomar Originally published on Towards AI. Turn messy PDFs into reliable, auditable answers — a production-ready RAG pipeline with OCR, heading-aware chunking, FAISS, cross-encoder reranking, and strict LLM prompts Image Source : Google Gemini TL;DR — for skimmers Problem: …
Learning CUDA From First Principles
Author(s): Ayoub Nainia Originally published on Towards AI. Being a PhD student working on AI and NLP, I’ve spent quite some time using PyTorch and other high-level frameworks that abstract away the GPU. But recent discussions about whether I should learn CUDA …
The Context Advantage: How Palantir AIP Operates the Modern Enterprise
Author(s): Sainath Palla Originally published on Towards AI. Over the last couple of years, most conversations about AI have focused on model size, speed, or how many parameters a system can fit into memory. These are useful metrics, but they do not …
The Context Window Paradox: Engineering Trade-offs in Modern LLM Architecture
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. Introduction: Beyond the Marketing Numbers The AI industry has entered a curious arms race. Anthropic announces 200K tokens. Google counters with 1M. Meta teases 10M. Each announcement generates headlines, yet beneath this numerical escalation …
The 390x Speed Advantage: Unpacking AI’s Victory in Clinical Diagnosis
Author(s): Shashwata Bhattacharjee Originally published on Towards AI. The headline writes itself: AI defeats human doctors in medical diagnosis, delivering results in under two seconds versus 13 minutes. But beneath this dramatic 390x speed differential lies a far more nuanced story about …
Your AI Agent Works in Demo. It Dies in Production. Here’s Why.
Author(s): Elliott Girard Originally published on Towards AI. I’ve built 38 AI agents in 2025. 6 made it to production. 42 didn’t. Here’s what killed them — and how to avoid the same fate. The Demo That Fooled Everyone You know the …
Building Smart AI Agents: A Practical Guide to LangGraph Design Patterns
Author(s): AbhinayaPinreddy Originally published on Towards AI. Why Your AI Agent Keeps Failing (And How to Fix It) Picture this: You’ve built an AI chatbot. It works great for simple questions. But the moment you ask it to do something complex — …
II. Type Hints & Pydantic: FastAPI’s Foundation
Author(s): Mahimai Raja J Originally published on Towards AI. FastAPI’s magic isn’t magic. It’s a team work with Pydantic. You’ve seen the demos. A few lines of code, automatic documentation, request validation that just works. It looks like magic. The article delves …
Building a Secure PDF Q&A Pipeline with Azure OpenAI Assistants and AAD Authentication
Author(s): Harsh Sharma Originally published on Towards AI. Building a Secure PDF Q&A Pipeline with Azure OpenAI Assistants and AAD Authentication When building AI solutions for enterprises or external clients, you’re rarely given complete freedom over infrastructure choices. More often than not, …
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