How one large financial institution used call center AI to inform customer experience management with real-time data.
This release features new GenAI tools and Multi-Schema Annotation, as well as new enterprise security tools and an updated home page.
Enterprises must evaluate LLM performance for production deployment. Custom, automated eval + data slices present the best path to production.
Meta’s Llama 3.1 405B, rivals GPT-4o in benchmarks, offering powerful AI capabilities. Despite high costs, it can enhance LLM adoption through fine-tuning, distillation, and as an AI judge.
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.
