Chatbots 2023-03-28
Xturing icon


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Personalized Q&A chatbot using language models.
Generated by ChatGPT

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.


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Xturing was manually vetted by our editorial team and was first featured on April 2nd 2023.
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Pros and Cons


Supports multiple LLMs
Offers personalization of models
Data set generation feature
Evaluation of modified models
Efficient compute and memory
Agile and customizable
Offers UI and CLI Playground
Easy installation with pip
Includes Quickstart guide
Under Apache 2.0 License
Supportive community on Discord
Supportive community on Twitter
Open-source and free
Multiple fine-tuning approaches
Contribution possibilities for developers


Requires coding knowledge
Limited models supported
Lack of extensive documentation
Community support on Discord only
Complexity in fine-tuning models
Limited to Apache 2.0
Memory and compute efficiency unclear
Modifying models can be challenging
Data source compatibility unknown
Limited UI and CLI playgrounds


What is xTuring?
What are the main features of xTuring?
Does xTuring support all language models?
How can I personalize models with xTuring?
How do I fine-tune LLMs using xTuring?
What is the process of generating datasets with xTuring?
What models does xTuring support?
Can I evaluate modified models with xTuring?
What are the different playgrounds offered by xTuring?
How can I install xTuring?
What is the Quickstart guide for xTuring?
What community support does xTuring offer?
Is xTuring an efficient tool in terms of computation and memory?
What type of license does xTuring fall under?
How customizable is xTuring?
Is xTuring open-source?
Are there any prerequisites before installing xTuring?
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Can I load and save models with xTuring?

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