Events, webinars and demos

In this webinar, we’ll explain how enterprises can not only accelerate data labeling but iterate, adapt, and improve label accuracy via AI data development.

In this webinar, presented by Snorkel and Numbers Station, we’ll explain how to elicit data-driven insights backed by domain-knowledge using a multi-agent architecture and a fine-tuned LLM and/or RAG pipeline.

In this webinar, Vincent Chen, Product Director at Snorkel AI, will discuss the importance of LLM evaluation, highlight common challenges and approaches, explain core concepts such as slices and quality models, and demonstrate Snorkel AI’s approach to LLM evaluation.

RAG is the first step in building LLM-powered AI applications for enterprise use cases.

Learn how to fine-tune LLMs like Meta’s Llama 3 for specialized tasks and see a live demo of curating high-quality training data with Snorkel Flow

In this webinar, learn how to optimize RAG components to increase accuracy and precision, apply AI data development techniques to improve model accuracy, and accelerate the delivery of production RAG implementations.

See how they were able to label millions of images in months vs. years and improve the accuracy of their models by 20+ points.

During this research talk, you’ll see how you can achieve higher model performance from foundation models such as CLIP.

In this webinar, you’ll learn how your unique data is critical to developing high-quality generative AI applications and learn where your data can be used and how it should be prepared, managed, and applied to deliver real-world value for your organization.