AI automation harnesses advanced AI techniques, including machine learning (ML) algorithms, natural language processing (NLP), and computer vision, to analyze extensive datasets. Through this process, AI applications not only process information but also construct intelligent models capable of making informed decisions based on acquired knowledge. |
This Refcard aims to equip practitioners with the necessary insights to navigate the complex process of building and implementing AI automations, covering important topics such as model training, foundation models, continuous compliance, and more. |
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