Machine learning has advanced considerably in recent years, with systems achieving human-level performance in various tasks. However, the true difficulty lies not just in developing these models, but in implementing them effectively in everyday use cases. This is where AI inference comes into play, emerging as a critical focus for researchers and i
Reasoning using Smart Systems: A Groundbreaking Chapter in Streamlined and Attainable Neural Network Architectures
AI has made remarkable strides in recent years, with models achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in implementing them efficiently in real-world applications. This is where inference in AI takes center stage, arising as a primary concern for researchers and tech