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11min chapter
YOLOv9: Computer vision is alive and well
Practical AI: Machine Learning, Data Science, LLM
Navigating the Evolving Landscape of AI Development
This chapter delves into the challenges of selecting content for the podcast amidst rapid technological advancements, focusing on parameter efficient models like Qualcomm AI models and YOLO for on-device computing. It explores the evolving trends in software systems and their impact on AI model development, emphasizing the importance of understanding use cases for selecting appropriate model types. Additionally, the chapter discusses the integration of MLOps with software architecture and the usage of APIs for AI services, highlighting the significance of adapting to the changing landscape of AI development.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode