The New AI Model Paradox: When “Upgrades” Feel Like Downgrades (Claude 3.7)
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. The Allure of the New is misleading when the speed of development is too fast! The tech world buzzes with excitement each time a new Artificial Intelligence (AI) model is unveiled. We’re …
The Hidden Cost of AI: The Workplace Penalty Nobody Saw Coming
Author(s): MKWriteshere Originally published on Towards AI. Image Generated by Author Using Gpt-4o Using AI may boost your productivity while secretly tanking your professional reputation. New research reveals a troubling disconnect between AI’s benefits and how others perceive AI users, creating a …
Merging Minds: How Neuroscience and AI Are Creating the Future of Intelligence
Author(s): Talha Nazar Originally published on Towards AI. Imagine a world where your thoughts can control machines. You think, and a robotic arm moves. You feel, and a digital avatar mimics your expression. Sounds like science fiction, right? But this is no …
How to Achieve Structured Output in Claude 3.7: Three Practical Approaches
Author(s): Omri Eliyahu Levy Originally published on Towards AI. How to Achieve Structured Output in Claude 3.7: Three Practical Approaches TL;DR — Full code can be found here At Baz, we’re building an AI code review agent that combines static analysis with …
Visual Grounding for Advanced RAG Frameworks
Author(s): Felix Pappe Originally published on Towards AI. Image created by the author using gpt-image-1 AI chatbots and advanced Retrieval-Augmented Generation (RAG) systems are increasingly adept at providing up-to-date, context-aware answers based on previously retrieved text chunks. However, despite their seemingly reliable …
Hallucinations in Healthcare LLMs: Why They Happen and How to Prevent Them
Author(s): Marie Originally published on Towards AI. Hallucinations in Healthcare LLMs: Why They Happen and How to Prevent Them Building Trustworthy Healthcare LLM Systems — Part 1 Image generated by the author using ChatGPT TL;DR LLM hallucinations: AI-generated outputs that sound convincing …
Why 7 Out of 10 Developers Fail at Productivity — And the Simple Fix with MCP Servers
Author(s): Subhadip Saha Originally published on Towards AI. Discover how MCP servers can streamline your workflow, reduce distractions, and help you regain focus in just a few simple steps.Pixel art illustration created with AI Have you ever felt like you’re constantly juggling …
A Deep Technical Exploration of Retrieval-Augmented Generation (RAG) with Transformers, DPR, FAISS, and BART
Author(s): Saif Ali Kheraj Originally published on Towards AI. RAG stands for Retrieval-Augmented Generation. It’s a clever setup where a transformer model (you know, the brains behind all gpts) doesn’t just make things up — it actually goes out, finds real information, …
GPU Architecture & Working intuitively explained
Author(s): Allohvk Originally published on Towards AI. GPU Origins The image displayed on a computer screen is made up of millions of tiny pixels. In early days, “graphics controllers” were given instructions by the CPU on how to calculate the individual pixel …
Language models are transfer learners: using BERT to solve Multi-Hop RAG
Author(s): Anuar Sharafudinov Originally published on Towards AI. Credits: GPT4.1 Introduction In previous article, we addressed a critical limitation of today’s Retrieval-Augmented Generation (RAG) systems: missing contextual information due to independent chunking. However, this is just one of RAG’s shortcomings. Another significant …
The Evolution of GRPO: DAPO
Author(s): tangbasky Originally published on Towards AI. Dynamic sAmpling Policy Optimization (DAPO) is actually a type of reinforcement learning optimization algorithm. To thoroughly understand DAPO, we need to progressively sort out and explain it from PPO -> GRPO -> DAPO. Proximal Policy …
Static Embeddings to Contextual AI: Fine-Tuning NLP Models Explained
Author(s): Parth Saxena Originally published on Towards AI. Photo by Joshua Hoehne on Unsplash 1. The Evolution of NLP Models Natural Language Processing (NLP) has transformed how machines understand and generate human language. From simple text processing to powerful language models capable …
The Post-Work Society: When 99% of Labor Is Automated, What Comes Next?
Author(s): Younes Khadraoui, PhD Originally published on Towards AI. AI Generated Imagine waking up tomorrow to a world where 99% of the labor we know today — manual, cognitive, creative — is automated. Not just replaced in part, but fully managed by …
AI Meets Antiquity: Fine-Tuning Gemma-3 on Heritage Texts with Unsloth & Lightning AI
Author(s): Devavrat Samak Originally published on Towards AI. TL;DR: In this article, I share how I fine-tuned Google’s Gemma-3 on Peshwa-era Marathi texts using Unsloth and Lightning AI. You’ll learn about continual pretraining, low-cost LLM training workflows, and how this approach can …
Retaining Knowledge in AI: Solving Catastrophic Forgetting in LLMs
Author(s): Sanket Rajaram Originally published on Towards AI. Part 1: The Learning Journey of a Kid in the School Imagine a kid in school learning about basic arithmetic in one semester. By the next year, they move on to geometry and algebra, …
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