Machine Learning

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Pinecone Vector Database with Marek Galovic

An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are designed to make data consumable by

Vespa.ai with Jon Bratseth

Vespa is a fully featured search engine and vector database, and it has integrated ML model inference. The project open sourced in 2017, and since then has grown to become a prominent

GitHub Copilot with Joseph Katsioloudes

GitHub Copilot is an AI tool developed by GitHub and OpenAI to assist software developers by autocompleting code. Copilot kicked off a revolution in software engineering, and AI

Privacy in the Age of Generative AI

On a recent trip to my hometown in Eastern Canada, my father picked me up at the airport. One of the first things he asked me was, “Is AI going to take everyone’s jobs?”. When AI,

Weights & Biases with Chris Van Pelt

Machine learning model research requires running expensive, long-running experiments where even a slight mis-calibration can cost millions of dollars in underutilized compute resources.