Ludwig
Lets you train machine learning models super easily, even without coding. Perfect for trying out AI!
Lets you train machine learning models super easily, even without coding. Perfect for trying out AI!
Ludwig is an open-source tool that helps you build AI models. You don't need to be a coding expert, it uses simple setup files. It's great for text, images, and more. It's free to use. It may take some time to learn all the advanced features.
No-Coding Required: You don't need to write any computer code to train your models. Just provide a dataset and a simple configuration file, describing what to do.
Flexible Architecture: Imagine LEGOs for machine learning! Ludwig has modular parts (encoders, decoders, etc.) for different types of data. Change or add to these parts as you like.
Data Type Abstractions: It works with text, images, categories – lots of things. Ludwig handles each type of data with the right tools and makes encoding simple.
ECD Architecture: Think of it as Input -> Process -> Output. This core design allows you to mix and match different inputs and outputs to create all sorts of cool models.
Distributed Training: Got a huge project? Ludwig plays well with tools like Ray, so you can split the work across multiple computers, making training faster. It also helps in fine-tuning and generative AI purposes
Support for Custom LLMs: Ludwig now lets you build your own super-smart Large Language Models. You can tweak them and use them for all sorts of AI tasks.
Ludwig works with text, images, categories, sequences, sets, bags, and time series data.
No, you can start by just giving it data and setting up your models using YAML files.
Yes, Ludwig lets you extend its features with custom components.
Yes, it works with tools like Deepspeed and Ray for training really big models across multiple machines.
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