The Problem: When AI Gets Creative with Colors Imagine you’re browsing an online fashion store. You see a beautiful burgundy dress on a model, add it to your cart, and eagerly await delivery. When...
Training large language models (LLMs) locally has always come with a catch — endless dependency issues, tricky environment setups, and the dreaded “works on my machine” problem. But not anymore. U...
Are you on your journey to learn AI? Want to master PyTorch and even implement scientific papers from scratch? Here are the best free PyTorch-first resources I started from: Jovian – De...
In this post, I’ll try to show how Windsurf’s Cascade AI transforms prompt-driven development—what Andrej Karpathy calls Software 3.0, where “prompts are programs”—into real, end‑to‑end scaffoldin...
Transformer is a neural network architecture for sequence transduction that replaces recurrence and convolutions with self-attention, enabling fully parallel processing of input embeddings $X\in\ma...
“What would a production-grade AI cluster look like if built from scratch for scale, resilience, and lightning-fast insights?” Sentinel-AI is my answer. Repo 👉 github.com/gsantopaolo/sentinel-AI ...
Summary As part of my study for the Artificial Intelligence Professional Program at Stanford, I’m studying CS224N: Natural Language Processing with Deep Learning. In this class, we studied the his...
Backpropagation—originating in Linnainmaa’s 1970 reverse-mode AD thesis and popularized for neural nets by Rumelhart et al. in 1986—is the workhorse that makes deep learning feasible (en.wikipedi...
TL;DR Gemini CLI is Google’s free, open-source AI agent for your terminal. Powered by Gemini 2.5 Pro (with a huge 1 million-token context), it lets you scaffold apps, debug and refactor code, fe...
Sequence-to-sequence (seq2seq) models without attention compress an entire source sentence into a single fixed-length vector, then feed that into a decoder to produce the target sentence. While t...