Machine Learning
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.