课程: Understanding Generative AI in Cloud Computing: Services and Use Cases
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The future of generative AI in the cloud
课程: Understanding Generative AI in Cloud Computing: Services and Use Cases
The future of generative AI in the cloud
- [Instructor] Generative AI is changing how we approach business or technical tasks. Examples of this includes generating art and music and even using human language to communicate with humans,. However, it took cloud computing to make generative AI possible for the masses and it's revolutionizing how we work and play. Generative AI models are known to be processor in storage hogs requiring much more expensive computing and storage resources to work properly. The cloud provides scalability and cost efficiency as we stated here, more than just a few times, which democratizes access. The cloud also drives generative AI research and development, allowing researchers and developers to share data and models. This allows researchers to quickly reference other works to enhance their own and then return the favor once they publish. This symbiotic relationship will lead to quantum leaps in innovation. Moreover, cloud-based…
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内容
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Introduction to cloud-based generative AI models for text data3 分钟 3 秒
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Overview of natural language processing (NLP) techniques for text generation4 分钟 30 秒
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Cloud-based tools for training language models2 分钟 33 秒
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Music modeling with recurrent neural networks (RNNs) on the cloud3 分钟 58 秒
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The future of generative AI in the cloud1 分钟 59 秒
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