Latent Space: The AI Engineer Podcast

[AIE Summit Preview #1] Swyx on Software 3.0 and the Rise of the AI Engineer

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Oct 7, 2023
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Swyx
In this insightful conversation, Swyx, an AI expert and keynote speaker at the AI Engineer Summit, delves into the evolution of Software 3.0. He explains how this new paradigm leverages foundation models like GPT-3, eliminating the need for traditional data labeling. Swyx also highlights the burgeoning role of AI engineers and the importance of understanding model architecture. The discussion touches on OpenAI's innovations, the debate over true intelligence in language models, and the necessity of practical solutions in the AI landscape.
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INSIGHT

Software 3.0 Explained

  • Software 1.0 is hand-coded, 2.0 uses ML on custom data, and 3.0 leverages pre-trained models.
  • Foundation models drastically reduce AI product MVP development time.
INSIGHT

Model Architecture and the AI Engineer

  • Model architecture, often transformer-based, defines a model's layers and structure.
  • AI engineers should focus on product impact, not model internals.
INSIGHT

Foundation Models: Data is King

  • Foundation models, or pre-trained models, are large, pre-trained data blobs.
  • Their value lies in the trained weights, derived from massive datasets, not the code itself.
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