Practical Paths to Data-Centric AI

Practical Paths to Data-Centric AI

Explore the intricacies of machine learning and AI in this 27-minute video featuring experts Abhishek Ratna and Robert Crowe from Google. Discover the importance of data quality over quantity, challenges in feature selection, and complexities of deploying large language models. Delve into the challenges of supervised learning, benefits of synthetic data and weak supervision, and the necessity of effective data governance. Gain valuable insights into implementing machine learning and AI in real-world scenarios. Perfect for those interested in practical applications of data-centric AI and applied AI techniques.