The deployment of large language models (LLMs) in resource-constrained environments is challenging due to the significant computational and memory demands of these models. To address this challenge, various quantization techniques have been proposed to reduce the model’s resource requirements while […]

‌In the dynamic world of machine learning, efficiently scaling solutions from research to production is crucial. In this session, we explore the nuances of scaling machine learning pipelines, emphasizing the role of containerization in improving reproducibility, portability and scalability. Key […]

Ego vision technology is revolutionizing the capabilities of smart eyewear, enabling applications that understand user actions, estimate human pose and provide spatial awareness through simultaneous localization and mapping (SLAM). This presentation will dive into the latest advancements in deploying these […]