课程: Understanding Generative AI in Cloud Computing: Services and Use Cases
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Cloud-based tools for training language models
课程: Understanding Generative AI in Cloud Computing: Services and Use Cases
Cloud-based tools for training language models
- [Instructor] Training language models requires significant computing and storage infrastructure, which makes cloud computing a good development platform, given all the resources we've covered so far. Training language models is a critical area in natural language processing. These language models are algorithms that assist computers in understanding and simulating human language. They function by analyzing large amounts of data, using that data to learn patterns and then predicting the next word or phrase, for instance, in a sentence. Cloud-based tools have emerged as resources for using these training language models. Again, they provide scalability and cost advantages. This video will explore some popular cloud-based tools used for training language models. We'll list each and provide a short description. The Google Cloud AI platform introduced in a previous video provides a complete set of tools for training language…
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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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