-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
-
software development principles and practices for designing and implementing AI solutions. Advanced knowledge of data and Retrieval Augmented Generation pipelines, vector databases and embeddings. Knowledge
-
need to be addressed through a number of different scenarios and network configurations. Caching options to be explored will include MQTT, Kafka, and databases. Relevant Field/s of Study: Embedded