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.
Fine-tuning specialized LLMs demands a lot of time and cost We developed Bonito to make this process faster, cheaper, and easier.
Snorkel takes a step on the path to enterprise superalignment with new data development workflows for enterprise alignment
Snorkel Flow’s 2024.R1 release includes new role-based access control tools to further safeguard valuable enterprise data.
