Large language models have demonstrated extraordinary performance in many AI tasks but are expensive to use, even after training, due to their requirement of hi...
I didn’t start with a perfect setup—no GPU, no TPU, no funding—just ideas, insomnia, and a stubborn urge to make machines feel alive. This is the story of my AI...
We introduce conserved active information I^oplus, a symmetric extension of active information that quantifies net information gain/loss across the entire searc...
AI data centers which are GPU centric, have adopted liquid cooling to handle extreme heat loads, but coolant leaks result in substantial energy loss through unp...
Performance optimization is a critical yet challenging aspect of software development, often requiring a deep understanding of system behavior, algorithmic trad...
The App - Receipt scanning with OCR – point camera at any bill, AI extracts everything - Voice input – say “spent 500 on groceries” and it’s logged - AI insigh...
Holiday lights are twinkling, hot cocoa’s on the stove and gamers are settling in for a well‑earned break. Whether staying in or heading on a winter getaway, Ge...
MAP and MRR look intuitive, but they quietly break ranking evaluation. Here’s why these metrics mislead—and how better alternatives fix it. The post Why MAP and...
It's refreshing when a leading AI company states the obvious. In a detailed post on hardening ChatGPT Atlas against prompt injection, OpenAI acknowledged what s...
High-resolution video generation, while crucial for digital media and film, is computationally bottlenecked by the quadratic complexity of diffusion models, mak...
We expose a significant popularity bias in state-of-the-art vision-language models (VLMs), which achieve up to 34% higher accuracy on famous buildings compared ...
Masked Diffusion Models (MDMs) offer flexible, non-autoregressive generation, but this freedom introduces a challenge: final output quality is highly sensitive ...
