Name: The beginning of data-centric AI with data programming
Uploaded: 2022-07-08T00:10:24+00:00
Duration: 7 min 2 s
Description: Snorkel AI started with data-centric AI while working a the Stanford AI Lab in 2015, introducing the idea of data programming in 2016, followed by the Snorkel open-source framework in 2017, and in 201

3 years ago

Snorkel AI started with data-centric AI while working a the Stanford AI Lab in 2015, introducing the idea of data programming in 2016, followed by the Snorkel open-source framework in 2017, and in 2018 data-centric AI or software 2.0 was established as the new way to build AI applications.

►Read the full article: https://www.louisbouchard.ai/data-centric-ai/
►Data-centric AI: https://snorkel.ai/data-centric-ai
►Weak supervision: https://snorkel.ai/weak-supervision/
►Programmatic labeling: https://snorkel.ai/programmatic-labeling/
►Curated list of resources for Data-centric AI: https://github.com/hazyresearch/data-centric-ai
►Learn more about Snorkel: https://snorkel.ai/company/
►From Model-centric to Data-centric AI - Andrew Ng: https://youtu.be/06-AZXmwHjo
►Software 2.0: https://hazyresearch.stanford.edu/blog/2020-02-28-software2
►Paper 1: Ratner, A.J., De Sa, C.M., Wu, S., Selsam, D. and Ré, C., 2016. Data programming: Creating large training sets, quickly. Advances in neural information processing systems, 29.
►Paper 2: Ratner, A., Bach, S.H., Ehrenberg, H., Fries, J., Wu, S. and Ré, C., 2017, November. Snorkel: Rapid training data creation with weak supervision. In Proceedings of the VLDB Endowment. International Conference on Very Large Data Bases (Vol. 11, No. 3, p. 269). NIH Public Access.
►Paper 3: Ré, C. (2018). Software 2.0 and Snorkel: Beyond Hand-Labeled Data. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.
►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/