AI is more than GenAI
Sep 05, 2024•40 min•Ep. 285
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Summary
Daniel Whitenack guides listeners through the evolution of artificial intelligence, starting from the statistical machine learning era (2010-2017) to the advent of foundation models and transfer learning (around 2017), and finally the rise of generative AI (2022+). He explains the underlying mechanics, such as parameterized functions and embeddings, highlighting how various AI methodologies remain relevant and can be combined for complex business solutions, emphasizing that AI systems are ultimately sophisticated software functions.Episode description
GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how models, embeddings, data, prompts, etc. all fit together.
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