From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)

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Introduction to cloud-based tools for model training and deployment

Introduction to cloud-based tools for model training and deployment

From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)

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Introduction to cloud-based tools for model training and deployment

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- [Instructor] Artificial Intelligence has undergone a revolution because of cloud-based solutions that enable on-demand access to computer resources. This allows quicker and more effective model training and deployments, and it makes AI finely affordable. You understand the relationship between generative AI or AI in general in the cloud. Can you think of ways AI has changed the way you work? When comparing cloud-based tools with traditional ones found on premise, we quickly understand the benefits. The key advantages are scalability, elasticity, and cost. We no longer have to purchase hardware and software and build data centers to leverage the value that generative AI can provide. Cloud computing in short is the great equalizer that has allowed all to afford and use this technology. Scalability means the ability to support and quickly increase the processing in storage loads. Elasticity means the ability to scale up…

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