Efficient AI training with data-centric operations
The sudden rise and growing popularity of Generative AI marks a new era in Artificial Intelligence. However, it's important to note that pre-packaged “GenAI” may not be the best solution for every business, as pre-packaged language models will not capture the unique knowledge and insights that define your company. Ultimately, the data defines the behavior of the model, and pre-training on the right data is key to bridging the gap between a promising but insufficient model and one that's production-ready.
To ensure the effectiveness of machine learning models, proper selection, cleaning, and annotation of data are paramount. Snorkel Foundry provides a platform for creating your own foundation models within your enterprise or fine-tune pre-training data of leading open source models to fit your specific needs. It also helps manage data-centric tasks throughout the AI development journey.
How Wayfair uses Snorkel to overcome bad training data
Wayfair has partnered with Snorkel AI to implement data-centric AI, employing foundation models to improve the quality of their product catalog to further enhance customer search experiences across their catalog of of over 40 million products provided by more than 20 thousand suppliers.
This collaboration enables WayFair to label massive amounts of product images programmatically. The result is a breakthrough improvement in search result precision, giving customers a tailor-made shopping experience by suggesting more relevant products based on their search.
The big hurdle:
customizing AI models for your enterprise
- The time-consuming and expensive manual effort of curating data
- Maintaining the integrity of sensitive, proprietary data
- Achieving high accuracy and reliable performance for real-world applications
Forge ahead with Snorkel Foundry
Discover errors through guided analysis
Using Snorkel Foundry, we help enterprises create their own unique foundation models. Whether starting from scratch or building on existing ones, we understand the importance of managing data-centered operations.
Our team will work with yours to ensure that every step of the process, from data selection to cleaning, deduplication, and annotation, is handled efficiently. The end result is a streamlined process that allows your organization to maximize the use of its unique data and knowledge for pre-training specific foundation models.