What Did We Learn Labeling 13 Billion Units of Training Data?
The AI system you build is as good or bad as the data you have trained it on. Whether you are training a self-driving car, building a customer service chatbot, or diagnosing diseases with AI, a scalable training data strategy is integral to your success. In this session, we will discuss the following topics: -How much training data is enough -How to effectively manage quality, quantity, and throughput in your data pipeline -There is no single magic bullet for real-world challenges from overfitting to data drifts and bias; we’ll explore creative ways to solve this. -How to decide which tool is right for you as every tool and strategy has pros and cons.
Session ID: LT1416 Presentation Type: Live Session (Replay Available)
Date / Time: [Day 3] Wed. Sep. 16, 2020 @ 14:00 ET (US)
Presented by:Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Click for more details and additional sessions and content.
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