How to Accelerate AI Training With Programmatic Data Labeling: Snorkel Flow Demo

Predictive models, aligning LLMs, and fine-tune RAG applications all require labeled data. However, enterprise AI initiatives quickly become blocked due to the excessive time and cost needed to label data manually.

The solution is programmatic data labeling, which provides enterprises with an efficient way to capture knowledge from SMEs and then use it to automate data labeling at scale. It accelerates AI development time from months to days.

In this webinar, Snorkel AI Senior Applied Machine Learning Engineer Nazanin Makkinejad, explains how enterprises can not only accelerate data labeling, but quickly iterate, adapt, and improve label accuracy via AI data development.

In addition, she shows the following real-world use cases:

* Classifying chatbot utterances for a bank
* Extracting procedures from docs for a pharma company
* Extracting drugs and adverse events from medical notes

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