AI Frontlines: GPT-5 Drops—Dazzling Power, Familiar Problems
Author(s): Parsa Kohzadi Originally published on Towards AI. Was this an upgrade or a downgrade? On August 7, OpenAI dropped GPT-5, and goddamn, the headlines came fast. Hype swelled, benchmarks soared, and Twitter exploded. Multimodal reasoning across text, voice, and images. A …
Ever Wondered How Tech Giants Turn AI Dreams into Reality?
Author(s): Saumya Nishi Originally published on Towards AI. Ever wondered how AI goes from a brilliant idea to a city-wide network of intelligence The AI Paradox: Everyone Wants It, Few Know How to Use It In boardrooms and Zoom calls around the …
The Complete LLM Guide: From Zero to Hero 🚀
Author(s): MahendraMedapati Originally published on Towards AI. Why understanding LLMs isn’t just trendy — it’s career-defining Let me tell you something that might surprise you: I was skeptical about AI for the longest time. “Just another tech bubble,” I thought. Then ChatGPT …
Death by a Thousand Tokens: And How Smart Leaders Avoid It
Author(s): Ilyas Iyoob, PhD Originally published on Towards AI. What if I told you that you could cut your AI spend by 80%… and still get the same or even better results? Over the past year and a half, working with executives …
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 …
Stop Using Claude Code Like Solo Hackers: The Team Coordination System That Actually Scales
Author(s): Mayank Bohra Originally published on Towards AI. Stop Using Claude Code Like Solo Hackers: The Team Coordination System That Actually Scales Everyone’s sharing Claude Code productivity tricks for individual developers. But when your team tries the same workflows, chaos ensues. Here’s …
When the Data Bites Back: Injection Attacks Every LLM Engineer Should Know
Author(s): Shivang Doshi Originally published on Towards AI. Image generated using ChatGPT Why you should care Large‑language models (LLMs) are now embedded in products that answer emails, summarise documents and write code. They do this by ingesting two things: model weights (often …
Building an AI Director That Finds Movie-Worthy News
Author(s): Souradip Pal Originally published on Towards AI. A RAG-based pipeline where Perplexity reasons, Serper finds, Pinecone remembers, Azure OpenAI creates, and Streamlit presents. Have you ever read a news story and thought, “Wow, this should be a movie!”? A daring heist, …
Test MCP Servers Across Leading LLMs — and Even Try “gpt-oss” + MCPs for Free
Author(s): hideya Originally published on Towards AI. Credit: Lukas on pexels; edited by me Introduction Large Language Models (LLMs) are evolving at an incredible pace — getting smarter, faster, and cheaper almost every month. Recently, even an open-source version of ChatGPT, “gpt-oss,” …
LLMs as Judges: Practical Problems and How to Avoid Them
Author(s): Katherine Munro Originally published on Towards AI. Concrete advice for teams building LLM-powered evaluations My last post was all about conceptual problems with using Large Language Models to judge other LLMs. All images: Author provided.The article discusses the practical challenges of …
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