Explore a keynote talk from Code BEAM Europe 2023 where Christopher Grainger shares insights on implementing Machine Learning within the Elixir ecosystem. Discover how a startup transitioned from Python to an all-Elixir codebase for machine learning research, inference, and ETL pipelines. Learn about the benefits of this transition, including streamlined development, reduced complexity, and rapid experimentation. Gain practical knowledge on integrating the Numerical Elixir (Nx) ecosystem into workflows, utilizing Livebook for daily operations, and implementing Scholar for key features. Understand the readiness of the Nx ecosystem for production use, including running bespoke large language models with millions of parameters. Delve into the practicalities and challenges of managing machine learning in production using the BEAM, and hear a CTO's perspective on the benefits and real-world implications of this technological shift.
Overview
Syllabus
A Year in Production with Machine Learning on the BEAM - Christopher Grainger | Code BEAM Europe 23
Taught by
Code Sync