Is OpenAI’s AgentKit the New Automation KING— or Just AI Hype?
Author(s): AIversity Originally published on Towards AI. Does it truly surpass n8n and Zapier, or is it just riding the AI hype? OpenAI’s latest AgentKit is making waves across the AI community — for all the right reasons. Sam altman OpenAI DevDay …
The Unseen Biases Lurking in Generative AI and How They Could Affect You
Author(s): Piyoosh Rai Originally published on Towards AI. Picture this: you ask an AI to create an image of a CEO. It gives you a clean-cut white man in a suit. Ask for a “businesswoman,” and you get a smiling, conventionally attractive …
Deep Dive into Modern Natural Language Processing
Author(s): Sunil Rao Originally published on Towards AI. NLP models have quietly shaped your digital world, from virtual assistants to search results, and their evolution is accelerating. Read this article for a clear overview of the NLP, architectures — from RNN to …
🧠 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 …
AgentCrewOps — Part 1 — Agents for builders: goals, gotchas, and a practical starting stack
Author(s): Subramanian Mayakkaruppan Originally published on Towards AI. Series: Part 1 — Goals, gotchas, starting stack · Part 2 — Deploy the Lite stack TL;DR: Agents aren’t just APIs with bigger prompts. They’re stateful, stochastic programs that call tools, spend real money, …
Why and How We t-Test
Author(s): Ayo Akinkugbe Originally published on Towards AI. Photo by Girl with red hat on Unsplash Introduction When running experiments — be it with models, prompts, or human evaluations — we often need to answer one deceptively simple question: Did the change …
SharePoint Premium: When Your Content Started Thinking Back
Author(s): Mahathidhulipala Originally published on Towards AI. Or how I learned to stop worrying and love my intelligent documents When the Filing Cabinet Grew a Brain Look, I’ve been around the block with enterprise software. I’ve watched countless “revolutionary” updates that promised …
RLAD: How AI Learns to Think Strategically Before Solving Hard Problems
Author(s): MKWriteshere Originally published on Towards AI. A new training method teaches language models to generate reasoning strategies first, improving accuracy by 44% on complex math problems Large language models struggle with a specific problem: they optimize for generating longer solutions instead …
Data Normalization in ML
Author(s): Amna Sabahat Originally published on Towards AI. In the realm of machine learning, data preprocessing is not just a preliminary step; it’s the foundation upon which successful models are built. Among all preprocessing techniques, normalization stands out as one of the …
The Future of AI is Verifiable Thought
Author(s): Mohit Sewak, Ph.D. Originally published on Towards AI. The ultimate goal isn’t just a more powerful AI, but one whose thought processes are as clear as glass. A few years ago, my kickboxing coach was trying to teach me a spinning …
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