EXECUTING USING AUTOMATED REASONING: A GROUNDBREAKING CYCLE DRIVING AGILE AND UBIQUITOUS AI ARCHITECTURES

Machine learning has made remarkable strides in recent years, with models achieving human-level performance in various tasks. However, the main hurdle lies not just in training these models, but in utilizing them optimally in real-world applications. This is where machine learning inference becomes crucial, arising as a critical focus for experts a