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.
Is Generative AI the future or the present? · HackerTrans
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.