Cambrian explosion of generative models
Practical AI
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Navigating Neural Networks: Challenges and Opportunities
This chapter explores the technical challenges of working with large neural network models, particularly those exceeding 7 billion parameters. It highlights the significance of GPU memory limitations, strategies like model quantization, and the shift towards more accessible open models, fueled by recent developments like the acquisition of Mosaic ML. The discussion also addresses the evolving landscape of data handling, the importance of ethical frameworks, and the emerging opportunities for small and medium-sized enterprises in leveraging generative models.
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