Webinar: Optimizing Generative AI Models for Production

Large language models and other generative AI models present a unique set of challenges when implemented in production environments. Their extensive size and complexity often result in high operational costs and reduced inference speed, especially when scaling up. The optimization of these models requires a distinct set of tools and techniques, as traditional methods used for smaller deep-learning models prove insufficient.

In our upcoming webinar, we’ll address these challenges, explore advanced model optimization techniques, and show how companies leverage Deci’s Infery library to reduce cloud costs and boost the inference speed of their generative-ai applications.  

Watch now to:

  • Gain a deeper understanding of the unique challenges of deploying LLMs and other generative models at scale.
  • Explore advanced techniques for optimizing these models
  • Discover case studies showcasing how Deci’s customers are leveraging the Infery library. 

If you want to learn more about optimizing your generative AI models with Deci, book a demo here.

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")