The Three Part Strategy That's Building Tomorrow's AI
Lights On Data Show
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The Value of Hands-On Experimentation with AI Technologies
The chapter emphasizes the significance of hands-on experimentation with AI technologies, showcasing the speaker's approach to experimenting with AI through regular use of models and tools like Google Colab notebooks. It discusses examples like building a chatbot for email reading and leveraging chat GPT for improvements, while also touching on the potential future of graphical interfaces simplifying coding for non-coders. The chapter highlights the importance of preparing for AI advancements by deeply understanding one's business core, focusing on tasks AI can't replace, and exploring scenarios where AI could potentially replace human interfaces in companies.
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