From 608ab6fe0951dd4fa17852d1db9f9b377eaa33c3 Mon Sep 17 00:00:00 2001 From: Na'aman Hirschfeld Date: Wed, 1 Jul 2026 10:52:51 +0200 Subject: [PATCH] Add liter-llm to Machine Learning --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3fbbab36..746b399f 100644 --- a/README.md +++ b/README.md @@ -899,6 +899,7 @@ Where to discover new Ruby libraries, projects and trends. * [AI4R](https://github.com/sergiofierens/ai4r) - Algorithms covering several Artificial intelligence fields. * [Awesome Machine Learning with Ruby](https://github.com/arbox/machine-learning-with-ruby) - A Curated List of Ruby Machine Learning Links and Resources. * [langchain.rb](https://github.com/patterns-ai-core/langchainrb) - Library for building LLM-powered applications in Ruby. +* [liter-llm](https://github.com/xberg-io/liter-llm) - Universal LLM API client (Ruby binding over a Rust core) with one unified interface across 142+ providers and streaming. * [m2cgen](https://github.com/BayesWitnesses/m2cgen) - A CLI tool to transpile trained classic ML models into a native Ruby code with zero dependencies. * [PredictionIO Ruby SDK](https://github.com/PredictionIO/PredictionIO-Ruby-SDK) - The PredictionIO Ruby SDK provides a convenient API to quickly record your users' behavior and retrieve personalized predictions for them. * [rb-libsvm](https://github.com/febeling/rb-libsvm) - Ruby language bindings for LIBSVM. SVM is a machine learning and classification algorithm.