xTuring is an open-source AI personalization library that aims to simplify the process of building and controlling large language models (LLMs) by providing a simple interface for personalizing the models to suit your data and application requirements.
With xTuring, users can fine-tune LLMs using different approaches, generate datasets from their data sources, and evaluate modified models. Efficiency, productivity, and customizability are some of the prioritized features of xTuring.
The tool supports different models, including LLaMA, GPT-J, GPT-2, OPT, Cerebras-GPT, Galactica, and Bloom. xTuring works by providing different playgrounds, including UI Playground and CLI Playground, for users to experiment with the tool.
The installation process is straightforward using pip install, and the Quickstart guide makes it easy for users to get started. xTuring is licensed under Apache 2.0 and has a supportive community on Discord and Twitter.
The tool is efficient in terms of computation and memory and offers agility and customizability, making it a useful tool for anyone looking to build and control LLMs.
As an open-source tool, xTuring is available to anyone interested in trying it out or contributing to the project, making it an excellent option for developers looking for flexibility and customization when it comes to building LLMs.