It would be great to have every engineer have at least some amount of knowledge of machine learning.
Previously, we might use machine learning in a few sub-components of a system. Now we actually use machine learning to replace entire sets of systems, rather than trying to make a better machine learning model for each of the pieces.
Interpretation
What this quote means
The quote highlights the advancement of machine learning from a tool for specific tasks to a comprehensive solution that can replace entire systems.
Jeff Dean emphasizes the evolving role of machine learning in technology, illustrating a significant shift from utilizing it merely to enhance individual components of a system to the point where it can now supplant entire systems. This transition marks a pivotal moment in the integration of machine learning into broader applications, reflecting its growing capability and transformative potential in various domains.
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In practice
Example use cases
In a tech conference on artificial intelligence, this quote emphasizes the importance of adopting full system integration of machine learning.
More from Jeff Dean
All quotes →We want to build systems that can generalize to a new task. Being able to do things with much less data and with much less computation is going to be interesting and important.
Some people are happy to work in a particular domain or some field of computer science for years, and years. I personally like to kind of move around every few years, just to learn about new areas.
I like working in small teams where people on the team have very different skills than what I have and that banter back and forth, and the ability to build something collectively that none of you could do individually is actually a really useful and valuable thing.
Supervised learning works so well when you have the right data set, but ultimately unsupervised learning is going to be a really important component in building really intelligent systems - if you look at how humans learn, it's almost entirely unsupervised.
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