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/embedded systems Integrating hardware with software Use of collaborative development tools such as Git Programming for FPGA and/or microcontrollers (C/C++) Programming application software in Python
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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
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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
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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
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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