Search Results for "simulation model library" - Page 2

This library provides safe Rust bindings for AppKit on macOS (beta quality, fairly usable) and UIKit on iOS/tvOS (alpha quality, see repo). It tries to do so in a way that, if you've done programming for the framework before (in Swift or Objective-C), will feel familiar. This is tricky in Rust due to the ownership model, but some creative coding and assumptions can get us pretty far.

llm is an ecosystem of Rust libraries for working with large language models - it's built on top of the fast, efficient GGML library for machine learning. The primary entry point for developers is the llm crate, which wraps the llm-base and the supported model crates. Documentation for the released version is available on Docs.rs. For end-users, there is a CLI application, llm-cli, which provides a convenient interface for interacting with supported models. Text generation can be done as a one-off based on a prompt, or interactively, through REPL or chat modes. ...