The new administration is appearing more eager to advance AI to support national security. A prerequisite of actionable AI insights from the field inevitably requires labeled datasets. Balancing amongst speed to label, security, and high quality labels are crucial to decide and act. Humans in the loop are sometimes required, but more and more auto-annotation can provide excellent information to continuously train models.

During this webinar, Clarifai will walk through the following elements that are crucial for effective labeling:

• How labeling can be either a boon or doom for your model(s)
• Various approaches to labeling and considerations of tradeoffs
• Frontier use cases for multi-modal models in the field and how labeling is relevant to enable them

Register now to secure your spot and strengthen your understanding of labeling for applied AI.