AutoTrain: (not just)LLM finetuning without code and infra

Nov 23, 2023 ·

Auto-Train is a new approach to training natural language models developed by researchers at Hugging Face. It is designed to make it easier and faster to create high-quality models without requiring a lot of manual intervention. Auto-Train automates the process of creating and training models, allowing users to focus on building their models with the best possible accuracy and performance.

Auto-Train uses a sophisticated algorithm called “curriculum learning” which helps it identify patterns in text and automatically adjust its parameters. This allows Auto-Train to learn and adapt quickly to different types of data or tasks. In addition, Auto-Train also takes advantage of transfer learning which lets users leverage pre-trained models as a starting point for further model development.

Auto-Train is easy to use and requires minimal setup. Users can simply provide their text, choose the task or domain they want to build a model for, and Auto-Train will take care of the rest. The resulting models have consistently achieved state-of-the-art results compared to hand-built models, making it an ideal choice for developers who don’t have time or resources to manually train their models.

Auto-Train is currently available on the Hugging Face platform and is free to use. It supports multiple languages, including English, French, Spanish, German, Portuguese, Chinese, Japanese, Korean, Dutch, and Italian. Developers can also access all of the code and documentation for Auto-Train on the official GitHub repository.

Overall, Auto-Train is an exciting new approach to training natural language models that makes the process simpler and faster than ever before. With its automated approach and advanced algorithms, Auto-Train provides developers with a powerful tool for building models with the best possible accuracy and performance.