From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases
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Cloud-based tools for training language models
From the course: 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 deployment platform given all the resources that 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. Google Cloud AI platform. The Google Cloud AI platform, introduced in a previous video, provides a complete set of tools for training language models supported by…
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Introduction to cloud-based generative AI models for text data3m 21s
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Overview of natural language processing (NLP) techniques for text generation4m 51s
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Cloud-based tools for training language models3m 2s
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Music modeling with recurrent neural networks (RNNs) on the cloud4m 20s
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MLOps and cloud-based generative AI on the cloud2m 41s
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The future of generative AI in the cloud2m 7s
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