Dynamic Data Collection
Douwe discusses the potential of active learning in improving pre-training by aligning it with downstream tasks. He introduces dynamic adversarial data collection, where models and humans interact to identify weaknesses, resulting in significantly enhanced model performance. This approach hints at a future where continuous learning between humans and models becomes the norm, fostering more efficient data collection and model training.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589
Related Questions
What is active learning as discussed in the episode Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255 and the clip Active Learning Strategies?
What is active learning as discussed in the episode Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255 and the clip Active Learning Strategies?
How is active learning used in education?