Data-Driven Insights: NLP and AI Applications

This lecture covers topics such as building and scaling operating systems for heterogeneous hardware, data movement efficiency, hardware heterogeneity utilization, application-directed synchronization, and other advanced topics in computer science. It also delves into the challenges and advancements in the field of artificial intelligence and natural language processing, including the use of language models as knowledge representations and the design of interfaces between language models and external knowledge sources.