Meta released Llama 3 405B today, signaling a new era of open source AI. The model is ready to use on Snorkel Flow.
High-performing AI systems require more than a well-designed model. They also require properly constructed training and testing data.
We need more labeled data than ever, so we have explored weak supervision for non-categorical applications—with notable results.
To tackle generative AI use cases, Snorkel AI + AWS launched an accelerator program to address the biggest blocker: unstructured data.
AI alignment ensures that AI systems align with human values, ethics, and policies. Here’s a primer on how developers can build safer AI.
The Snorkel Flow label model plays an instrumental role in driving the enterprise value we create. Here’s a peek at how it works.
Vision language models demonstrate impressive image classification capabilities, but LLMs can help improve their performance. Learn how.
Snorkel researchers devised a new way to evaluate long context models and address their “lost-in-the-middle” challenges with mediod voting.
See a walkthrough of how Snorkel Flow users build applications with production-grade RAG retrieval components.
