Rami Krispin's Data Science Channel

The first step in the Docker 🐳 workflow, after defining the environment requirements, is to define the Dockerfile. In a nutshell, a Dockerfile is a text file containing the instructions Docker uses to build an image. It is one of the most important components of the Docker…

BreezeTTS2 - Local Real-Time Voice This video from Sam Witteveen examines BreezeTTS2, a 3B open-weight text-to-speech model for local real-time inference. The 14-minute video covers voice design and direction, voice events, multilingual generation, latency, benchmarks,…

Issue 103 is out! This week's agenda: 🔹 Open Source of the Week - The Archify project 🔹 New learning resources - Docker debugging, RecBole recommender systems, agentic harnesses, visual data structures and algorithms, reinforcement learning for unverifiable tasks, and LLM…

Issue 106 is out! This week’s agenda: 🔹 Open Source of the Week - Posit Commons 🔹 New learning resources - Jev explained, Bonsai 2 for local coding, building a coding agent harness, and weather forecasting with Hugging Face 🔹 Book of the week - Learning Generative AI Tools…

A new tutorial in my Docker 🐳 101 series — this time focusing on building Docker images 👇🏼 I recently started a series of Docker tutorials for AI/ML developers. The first sequence walks through the core Docker workflow: requirements → Dockerfile → docker build → docker run…

A new tutorial in my Docker 🐳 101 series for AI developers — this time focusing on running a container 👇🏼 What is the difference between an image and a container? The runtime. A container is an instance created from an image. It combines the image with runtime configuration…