📰 Medium · Machine Learning

Your app feels fast in the demo. Then you ship it. Latency spikes, privacy reviews stall, and suddenly every prompt is a product decision. Continue reading on M

The Intuitive Guide I Wish I Had When Learning LLMs Continue reading on Data Science Collective »

Transformers, Deep Learning, Foundation Models, Neural Networks, AI Architecture Continue reading on Medium »

I use ChatGPT almost every day. But for a long time, I had no idea how it was actually generating responses. Here’s the simplest… Continue reading on Medium »

A deep dive into memory fragmentation, paged memory management, and why PagedAttention can deliver up to 24× higher throughput than… Continue reading on Medium

Large Language Models (LLMs) are incredibly powerful, but they have a major limitation: Continue reading on Medium »

How eliminating intermediate tensor materialization saves VRAM and bounds gradient variance during large-scale LLM training. Continue reading on Medium »

How RAG, LLaMA 3.1, and a multi-agent pipeline came together to make legal documents actually understandable Continue reading on Medium »

It is the feature every reputation tool wants on its homepage. Connect your platforms, click one button, and an AI posts a reply to every… Continue reading on M

Short answer: NotebookLM now labels your sources for you. Once a notebook has five or more sources, it reads each one, groups the related… Continue reading on M

A new paper argues that the future of AI scaling may not be only bigger models. It may be better inference systems: committees, critics… Continue reading on Med

Your invoicing system needs to ingest scanned purchase orders. Your accounting platform handles contracts with cross-page tables. The text… Continue reading on

A technical perspective on declarative API description for LLM agents and why the deployment model matters as much as the protocol. Continue reading on Medium »

Retrieval-Augmented Generation, usually shortened to RAG, is one of the most practical ways to make large language models useful on… Continue reading on Medium

For years, the foundational mechanic of Large Language Models (LLMs) has been remarkably simple, yet computationally expensive: Next-Token… Continue reading on

TLDR; LLM-as-a-Judge is one of the most important architectural patterns in modern Generative AI systems. Whether you’re building RAG… Continue reading on Mediu

The honeymoon phase of generative AI is officially over. Copy-pasting prompts into ChatGPT or Claude web interfaces works wonders for… Continue reading on Mediu

The Emergence of the Most Powerful User Model in the History of Computing Continue reading on Medium »

Large Language Models (LLMs) have made it easier than ever to build AI-powered applications. From chatbots and coding assistants to… Continue reading on Medium

The four ways context quietly fails, the token count where quality collapses, and why a bigger context window won’t save you Continue reading on Medium »

Organizations today are investing heavily in Artificial Intelligence. From traditional Machine Learning models to Large Language Models… Continue reading on Med

On June 3rd, Google released Gemma4–12B parameter model, which is designed to bring the high-performance multimodal intelligence directly… Continue reading on M

Introduction: Why Language Matters Continue reading on Medium »

Real-time speech translation sounds simple until you try to put it into a live workflow. The hard parts are not just translation quality… Continue reading on Me