课程: Understanding Generative AI in Cloud Computing: Services and Use Cases
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Music modeling with recurrent neural networks (RNNs) on the cloud
课程: Understanding Generative AI in Cloud Computing: Services and Use Cases
Music modeling with recurrent neural networks (RNNs) on the cloud
- Music has been a part of human culture since time immemorial, and generative AI in the cloud can make great music for many purposes. Indeed, these systems can generate music that mimics human compositions. Cloud-based productive AI systems can write whole songs based on input data from humans or applications. Let's look at the core mechanism that makes music work for generative AI, recurrent neural networks, or RNN. RNNs have emerged as a defacto tool for music modeling, leading to the advent of AI created music. You may have already played around with these capabilities, asking a generative AI system to write a song based on any input, such as, write a song about a dog who learns to surf. So what types of applications are there for this technology? Examples include music generation for advertising and marketing, where a song is composed to create interest in a product or service. Entertainment or composing your AI…
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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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