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Generative models: exploration to deployment (Practical AI #240)
Oct 3, 2023
49:04
Snipd AI
Chris and Daniel discuss the model lifecycle for generative AI models, including optimization and serving. They explore deploying models, finding open access models, and navigating the landscape of generative models. They also touch on strategies for optimizing and deploying AI models, and different ways of deploying generative models.
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Quick takeaways
- The hugging face transformers library provides a wide range of AI models for different tasks, with interactive interfaces and demos for testing before downloading.
- For model deployment, there are various options including serverless platforms, containerized model servers, and custom APIs, depending on factors such as scalability, cost, and infrastructure requirements.
Deep dives
Finding and selecting models
To find and select AI models, the hugging face transformers library is highly recommended. With over 345,000 models available on their website, it provides a wide range of options for various tasks. The models can be filtered based on task, language, license, and popularity. Additionally, hugging face provides interactive interfaces and demos to test the models before downloading them.
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