LAI #93: Smarter Model Choices, Multi-Agent Systems, and Cutting Through AI Noise
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, Choosing the right model is becoming just as important as knowing how to prompt it. In What’s AI, I explain why treating LLMs as interchangeable is a mistake …
LAI #92: AI Hype vs. Reality, Deepfake Detection, and Copilot+ PCs
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week, we’re looking at where AI is truly useful versus where it’s just hype. Notion makes for a strong case study in integrating AI, where it adds …
TAI #169: OpenAI’s New Paper Sparks Discussion on Why AI Hallucinates
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie The rapid pace of AI model releases continued this week, with Google in particular pushing new capabilities into the hands of developers. Its text-to-video …
From Zero to Hero: Building Your First AI Agent with LangGraph 🤖
Author(s): MahendraMedapati Originally published on Towards AI. Ever wondered what it’s like to have a personal AI assistant that actually thinks and acts on its own? Let me tell you about my journey from complete confusion to building production-ready AI agents. Picture …
LAI #91: Reinforcement Learning, Knowledge Graphs, and Modular AI Agents
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week’s issue highlights how reinforcement learning and modular architectures are reshaping AI systems. We feature new research applying RL to sequential market basket decisions, showing how Q-learning …
9,000 Jobs Gone: Microsoft’s AI Pivot Just Got Brutally Real
Author(s): Parsa Kohzadi Originally published on Towards AI. When the world’s most valuable software company cuts 9,000 jobs in the name of AI efficiency, it’s no longer about innovation—it’s about survival. In July, Microsoft cut 9,000 jobs, citing efficiency gains from AI …
Teaching OpenAI’s GPT-OSS 20B Model Multilingual Reasoning Ability: A Hands-On Guide with RTX 4090
Author(s): Lorentz Yeung Originally published on Towards AI. Teaching OpenAI’s GPT-OSS 20B Model Multilingual Reasoning Ability: A Hands-On Guide with RTX 4090 If you are viewing outside the paywall, please use my friend link here to continue reading: https://entzyeung.medium.com/0835ba121ee7?source=friends_link&sk=ca02110337755c9c27c11049f466f891 This image showing …
Why GPT-5 Hits a Wall: The Real Story Behind AI’s Biggest Challenge 🤖💭
Author(s): MahendraMedapati Originally published on Towards AI. And how two groundbreaking research advances are trying to fix it You know that feeling when you’re trying to solve a 1000-piece jigsaw puzzle, and you can find all the corner pieces and edges, but …
🧠 Turn Any Text into Beautiful Interactive Maps: The Magic of AI-Powered Knowledge Graphs ✨
Author(s): MahendraMedapati Originally published on Towards AI. 🧠 Turn Any Text into Beautiful Interactive Maps: The Magic of AI-Powered Knowledge Graphs ✨ Ever wished you could turn a boring research paper into a visual story? Here’s how I discovered the coolest AI …
🧠RAG: What Nobody Tells You When Building Your AI Assistant
Author(s): Prisca Ekhaeyemhe Originally published on Towards AI. Everyone says RAG is easy until you actually try to build one. When I first heard about Retrieval-Augmented Generation (RAG), it sounded like magic. None members can read it here Photo by Uday Mittal …
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