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Practical AI: Machine Learning, Data Science, LLM
Generative models: exploration to deployment
Oct 3, 2023
49:04
Snipd AI
This episode of the podcast explores the lifecycle of generative AI models, discussing model optimization, serving, and deployment. It also highlights the revolution in microelectronics, the availability of open access models on Hugging Face, and the process of selecting and running a model for deployment. The speakers emphasize the importance of code reuse and provide tips for exploring and deploying generative models.
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Quick takeaways
- Experiment with different models from the hugging face repository to find the one that fits your desired behavior.
- Optimize your model using open-source projects like Optimum, Bits and Bytes, and OpenVINO to improve inference speed and run large models on limited hardware.
Deep dives
Choose the Right Model for Your Application
Begin by experimenting with different models and finding one that fits your desired behavior. Try out models from the hugging face repository, which offers a wide range of options for natural language processing, computer vision, and speech models. Consider factors such as model size, resource requirements, and performance.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode