Hi. Author here. This is the first in a series I've been writing for a while to help orient people about useful perspectives to have in catching up to all that's happening in AI/ML. It's based on what I've seen in the industry and the nlp company I work with (Cohere, where the post is hosted).
This article has the first four points (out of thirteen) that are useful to keep in mind. They are:
1- Recent AI developments are awe-inspiring and promise to change the world. But when?
2- Make a distinction between impressive cherry-picked demos, and reliable use cases that are ready for the marketplace
3- Think of models as components of intelligent systems, not minds
4- Generative AI alone is only the tip of the iceberg
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The article goes into each one with more detail. Welcoming all feedback and perspectives as we collectively figure out this new frontier.
This article has the first four points (out of thirteen) that are useful to keep in mind. They are:
1- Recent AI developments are awe-inspiring and promise to change the world. But when?
2- Make a distinction between impressive cherry-picked demos, and reliable use cases that are ready for the marketplace
3- Think of models as components of intelligent systems, not minds
4- Generative AI alone is only the tip of the iceberg
---
The article goes into each one with more detail. Welcoming all feedback and perspectives as we collectively figure out this new frontier.