课程: Understanding Generative AI in Cloud Computing: Services and Use Cases
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Edge computing and cloud-based generative AI
课程: Understanding Generative AI in Cloud Computing: Services and Use Cases
Edge computing and cloud-based generative AI
- [Instructor] Edge computing and cloud-based generative AI represent optimal tools to boost generative AI's capabilities while providing enhanced, comprehensive system performance. This combination of technologies is able to provide the best of local computing with the power of leveraging remote cloud servers. Edge computing utilizes a decentralized infrastructure for computation where data processing takes place closer to both the data source and endpoint device without solely depending on centralized cloud servers. When using edge computing technology, local processing accelerates data transmission times and diminishes latency. This is needed in use cases that leverage generative AI, such as autonomous vehicles or industrial automation useful for IOT devices. Cloud platforms provide a wide range of services on a large scale with high flexibility which makes it ideal for training those complicated models with extended data…
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Edge computing and cloud-based generative AI2 分钟 54 秒
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Federated learning for distributed generative models on the cloud1 分钟 58 秒
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Security and privacy issues in cloud-based generative AI2 分钟 13 秒
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Overview of generative AI ethics in the cloud2 分钟 56 秒
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Challenge: Generative AI on the edge of clouds1 分钟 13 秒
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Solution: Generative AI on the edge of clouds2 分钟 45 秒
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