Snorkel AI
Snorkel is a Python library that helps you create training datasets without having to manually label them. It is open-source, meaning it is freely available for anyone to use. This tool helps data scientists and machine learning engineers create good training datasets for machine learning models.
Snorkel uses a method called weak supervision to automatically assign labels to data. Weak supervision is a kind of machine learning where the labels may not be perfect, but they can still be helpful for training a model. Snorkel can use different types of simple signals to help it learn, like rules, guidelines, and labels from a group of people.
The snorkel is made to be simple and can be adjusted to different sizes. It can be used to create datasets for different machine learning tasks, like sorting, predicting, and understanding language.
Snorkel uses a variety of techniques to automate the labeling process, including:
- Weak supervision: is a method used by Snorkel to train machine learning models. It involves using signals like noisy labels and pseudo-labels.ls.
- Active learning: Active learning is a technique used by Snorkel to ask human experts for labels. It focuses on getting information from the most helpful data points.
- Transfer learning: is a technique used by Snorkel to take knowledge from existing models and apply it to new tasks.
- The snorkel is made to be simple and able to grow. It can be used to create datasets for different tasks, such as training.
- Natural language processing (NLP) is a field of study that focuses on making computers understand and process human language.
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- Making things
- Reduced labeling costs:Snorkel can assist in decreasing the cost of labeling data by automating the procedure.
- Improved accuracy: Snorkel is able to handle large datasets, making it useful for creating training datasets for big projects.
- Scalability: Snorkel is easy to use for building training datasets for big datasets.
- Ease of use: Snorkel is designed to be easy to use, making it accessible for businesses with limited AI expertise.
