Jacob Devlin introduces BERT, a deeply bidirectional Transformer model pre-trained on unlabeled text using masked language modeling. This standardizes the transfer learning pipeline across natural language processing domains.
Part of the 29 Structural Foundations: The Internet Era, Big Data, and Deep Learning Explosion Edition archive. HistoricallyVerified
Top 5 Structural Foundations: Origins
- The Deployment of Automated Face Clustering in Google Photos (Picasa) — Google integrated early face-recognition and clustering pipelines into its digital image management ...
- 33 AI Roots Facts: 2014 Edition — The year 2014 shifted artificial intelligence into a hyper-generative and architecturally complex e...
- The Evolution of Yahoo! Answers — Yahoo! launches a community-driven question-and-answer platform. It quickly grows into a massive re...
- The Launch of DALL-E 1 and CLIP — OpenAI officially introduced DALL-E, a 12-billion-parameter version of the GPT-3 Transformer trained...
- The Launch of YouTube — Chad Hurley, Steve Chen, and Jawed Karim found a video-sharing website. The very first video, “Me a...
Discussion: