EXECUTING WITH NEURAL NETWORKS: A INNOVATIVE PHASE TRANSFORMING EFFICIENT AND ACCESSIBLE DEEP LEARNING ALGORITHMS

Machine learning has advanced considerably in recent years, with models matching human capabilities in various tasks. However, the real challenge lies not just in creating these models, but in implementing them effectively in everyday use cases. This is where inference in AI becomes crucial, emerging as a primary concern for scientists and industry

Artificial Intelligence has made remarkable strides in recent years, with systems surpassing human abilities in diverse tasks. However, the main hurdle lies not just in developing these models, but in implementing them efficiently in practical scenarios. This is where inference in AI becomes crucial, emerging as a primary concern for scientists and