Data architecture is a set of rules, policies, standards, and models that govern and determine the type of data collected, and show how this data is used, stored, managed, and integrated within an enterprise and database systems. It offers a formal approach to creating and managing data flow and how data is processed across an enterprise's IT systems and applications.
In AI and machine learning projects, instead of processing raw data directly, it is necessary to make it more meaningful and processable. An important concept that comes into play at this point is Embedding.
Latent Dirichlet Allocation (LDA) is a topic modeling technique that allows the discovery of hidden topic structures on large amounts of text data.
Grok is a product of xAI, the artificial intelligence initiative founded under the leadership of Elon Musk, and aims to make complex data analysis more understandable. Adopting the concept of “Explainable AI”, Grok aims to provide a more transparent and traceable artificial intelligence system in the decision-making processes of companies.
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