AI Infrastructure

A practical guide for founders on Transformer Architecture, covering its core mechanisms, its advantages over previous models, and the strategic implications for building AI-driven businesses.

This article defines vector databases and explains how they store and retrieve unstructured data using mathematical embeddings to power modern artificial intelligence applications for startups.

An exploration of TensorFlow for startup founders, detailing its function as a machine learning library, its production capabilities, and strategic considerations for building AI-driven products.

Inference is the process of using a trained machine learning model to make predictions. This guide covers how it works, cost implications, and deployment strategies for startups.