Large Language Model Training: Tackling Data Challenges

Explore the intricacies of large language model training and learn how to tackle data challenges in this informative 33-minute video from Google Cloud Tech. Gain valuable insights from industry experts at Google Cloud, Neo4j, MongoDB, and Snorkel as they discuss the complexities of building and training machine learning models. Discover the importance of computing resources, statistical principles, and data collection and cleaning techniques. Delve into key use cases, explore the concept of Snorkel, and understand the role of knowledge graphs and grounding in model development. Learn about the Google Model Garden and how it can enhance your machine learning projects. Featuring speakers Paroma Varma, Sudhir Hasbe, and Benjamin Flast, this video provides essential knowledge for anyone interested in advancing their skills in large language model training and data management.

Introduction
Use cases
Key use cases
What is Snorkel
Data challenges
Knowledge and tools
Knowledge graphs and grounding
Google Model Garden