June 13, 2024

Enhancements in Elixir's Axon for Machine Learning

290

clicks

Enhancements in Elixir's Axon for Machine Learning

Source: dockyard.com

Machine Learning

The article by Sean Moriarity discusses significant improvements in the Axon library for Elixir, which is used for training machine learning models. The key enhancements include a new model state structure that distinguishes between trainable parameters and model state, reducing memory usage during training. Additionally, mixed precision training has been made more efficient, allowing for faster training and larger batch sizes. Gradient accumulation processes have also been streamlined to improve training performance. The article includes detailed code examples and highlights ongoing and future enhancements such as model quantization and better ergonomics for certain training methods.

Continue reading

Related posts

ExVision: A New Computer Vision AI Library for Elixir

Daniel Jodlos introduces ExVision, a new library for Elixir focused on computer vision AI models, emphasizing ease of use and real-time performance.

Jun 04, 2024

Understanding and Avoiding Common Pitfalls in Elixir Metaprogramming

Benjamin Milde discusses common issues in Elixir metaprogramming, including detailed explanations of `quote/2`, `unquote/1`, and working with macros.

Jun 08, 2024

Implementing RAG System for Elixir Codebases

This article is the second post in a series about using a Retrieval Augmented Generation (RAG) system for managing codebases. It focuses on adapting a previously discussed RAG system, initially designed for Ruby, to work with Elixir code. The article explores techniques like text splitting and chunking to help a language model understand Elixir code, leveraging tools like LangChain and Tree-sitter.

Jun 12, 2024

© HashMerge 2024