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Super Data Science: ML & AI Podcast with Jon Krohn
853: Generative AI for Business, with Kirill Eremenko and Hadelin de Ponteves
Jan 14, 2025
Join Kirill Eremenko, CEO of Super Data Science, and Hadelin de Ponteves, a leading AI educator, as they delve into the transformative power of foundation models for businesses. They discuss the eight-step lifecycle for implementing these models, offer criteria for selecting the best fit, and explore clever customization techniques. The duo also introduces AWS generative AI tools, making it easier for companies to leverage AI without breaking the bank. Their insights are a treasure trove for anyone looking to navigate the generative AI landscape!
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Quick takeaways
- Foundation models are revolutionizing business solutions by enabling organizations to leverage pre-trained AI technology instead of starting from scratch.
- The foundation model lifecycle consists of eight crucial steps, ensuring effective implementation through careful data preparation and model deployment.
Deep dives
Introduction to Foundation Models
Foundation models serve as the cornerstone for building customized AI applications, exemplified by large language models that interpret and generate human-like text. These models are pre-trained on vast datasets, allowing businesses to leverage existing sophisticated technology rather than starting from scratch. The cake analogy is used to illustrate this concept; the foundation model is the basic cake layer, while the customizations applied represent various toppings and decorations tailored to specific needs. By using foundation models, organizations can enhance their applications and drive innovation without incurring the extensive costs associated with the development and training of new models.
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